Sertel, O.,
Kong, J.,
Shimada, H.,
Catalyurek, U.V.,
Saltz, J.H.,
Gurcan, M.N.,
Computer-aided prognosis of neuroblastoma on whole-slide images:
Classification of stromal development,
PR(42), No. 6, June 2009, pp. 1093-1103.
Elsevier DOI
0902
Whole-slide histopathological image analysis; Texture analysis; Neuroblastoma
BibRef
Kong, J.[Jun],
Sertel, O.[Olcay],
Shimada, H.[Hiroyuki],
Boyer, K.L.[Kim L.],
Saltz, J.[Joel],
Gurcan, M.N.[Metin N.],
Computer-aided evaluation of neuroblastoma on whole-slide histology
images: Classifying grade of neuroblastic differentiation,
PR(42), No. 6, June 2009, pp. 1080-1092.
Elsevier DOI
0902
BibRef
Earlier:
Computer-Aided Grading of Neuroblastic Differentiation:
Multi-Resolution and Multi-Classifier Approach,
ICIP07(V: 525-528).
IEEE DOI
0709
Quantitative image analysis; Microscopy images; Neuroblastoma
prognosis; Grade of differentiation; Multi-resolution pathological
image analysis; Machine learning
BibRef
Zhu, S.J.[Shu-Jin],
Li, Y.H.[Yue-Hua],
Kalra, S.[Shivam],
Tizhoosh, H.R.,
Multiple disjoint dictionaries for representation of histopathology
images,
JVCIR(55), 2018, pp. 243-252.
Elsevier DOI
1809
Image retrieval, Image representation, Histopathology,
Wholeslide imaging, Bag-of-words, Dictionary learning, LBP, SVM, Deep learning
BibRef
Adu, K.[Kwabena],
Yu, Y.B.[Yong-Bin],
Cai, J.Y.[Jing-Ye],
Owusu-Agyemang, K.[Kwabena],
Twumasi, B.A.[Baidenger Agyekum],
Wang, X.X.[Xiang-Xiang],
DHS-CapsNet: Dual horizontal squash capsule networks for lung and
colon cancer classification from whole slide histopathological images,
IJIST(31), No. 4, 2021, pp. 2075-2092.
DOI Link
2112
artificial intelligence, capsule network, colon cancer,
convolutional neural network, histopathological images, lung cancer
BibRef
Xiang, T.[Tiange],
Song, Y.[Yang],
Zhang, C.Y.[Chao-Yi],
Liu, D.[Dongnan],
Chen, M.[Mei],
Zhang, F.[Fan],
Huang, H.[Heng],
O'Donnell, L.[Lauren],
Cai, W.D.[Wei-Dong],
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel
Pathology Image Analysis,
MedImg(41), No. 8, August 2022, pp. 2180-2190.
IEEE DOI
2208
Visualization, Encoding, Annotations, Redundancy, Pathology,
Metastasis, Image analysis, Weakly-supervised training,
whole slide images
BibRef
Zheng, Y.[Yi],
Gindra, R.H.[Rushin H.],
Green, E.J.[Emily J.],
Burks, E.J.[Eric J.],
Betke, M.[Margrit],
Beane, J.E.[Jennifer E.],
Kolachalama, V.B.[Vijaya B.],
A Graph-Transformer for Whole Slide Image Classification,
MedImg(41), No. 11, November 2022, pp. 3003-3015.
IEEE DOI
2211
Pathology, Feature extraction, Transformers, Tumors, Deep learning,
Training, Lung, Digital pathology, graph convolutional network,
lung cancer
BibRef
Wang, Z.Z.[Zhen-Zhen],
Saoud, C.[Carla],
Wangsiricharoen, S.[Sintawat],
James, A.W.[Aaron W.],
Popel, A.S.[Aleksander S.],
Sulam, J.[Jeremias],
Label Cleaning Multiple Instance Learning: Refining Coarse
Annotations on Single Whole-Slide Images,
MedImg(41), No. 12, December 2022, pp. 3952-3968.
IEEE DOI
2212
Annotations, Cancer, Pathology, Training, Tumors, Refining,
Predictive models, Whole-slide image segmentation, label cleaning
BibRef
Jiang, Y.H.[Ying-Hai],
Cui, R.[Rongsheng],
Liu, F.[Feng],
Multi-resolutional human visual perception optimized pathology image
progressive coding based on JPEG2000,
SP:IC(115), 2023, pp. 116960.
Elsevier DOI
2306
Image coding, Multi-resolution, JPEG2000, Perception-based image quality,
Visibility threshold, Whole-slide pathology image
BibRef
Yu, J.G.[Jin-Gang],
Wu, Z.[Zihao],
Ming, Y.[Yu],
Deng, S.[Shule],
Wu, Q.H.[Qi-Hang],
Xiong, Z.T.[Zhong-Tang],
Yu, T.Y.[Tian-You],
Xia, G.S.[Gui-Song],
Jiang, Q.P.[Qing-Ping],
Li, Y.Q.[Yuan-Qing],
Bayesian Collaborative Learning for Whole-Slide Image Classification,
MedImg(42), No. 6, June 2023, pp. 1809-1821.
IEEE DOI
2306
Federated learning, Bayes methods, Pathology, Training,
Probabilistic logic, Task analysis, Graphics processing units,
multiple instance learning (MIL)
BibRef
Zheng, Y.S.[Yu-Shan],
Li, J.[Jun],
Shi, J.[Jun],
Xie, F.Y.[Feng-Ying],
Huai, J.G.[Jian-Guo],
Cao, M.[Ming],
Jiang, Z.G.[Zhi-Guo],
Kernel Attention Transformer for Histopathology Whole Slide Image
Analysis and Assistant Cancer Diagnosis,
MedImg(42), No. 9, September 2023, pp. 2726-2739.
IEEE DOI
2310
BibRef
Wang, Z.[Zhao],
Feng, Q.Y.[Qian-Yu],
Corredor, G.[Germán],
Koyuncu, C.[Can],
Lu, C.[Cheng],
Measuring dense false positive regions from segmentation result for
whole slide tissue histology image,
JVCIR(96), 2023, pp. 103929.
Elsevier DOI
2310
Image segmentation, Evaluation metric, Histology image
BibRef
Wang, Z.H.[Zhi-Hua],
Yu, L.Q.[Le-Quan],
Ding, X.[Xin],
Liao, X.H.[Xue-Hong],
Wang, L.S.[Lian-Sheng],
Shared-Specific Feature Learning With Bottleneck Fusion Transformer
for Multi-Modal Whole Slide Image Analysis,
MedImg(42), No. 11, November 2023, pp. 3374-3383.
IEEE DOI
2311
BibRef
Morales-Álvarez, P.[Pablo],
Schmidt, A.[Arne],
Hernández-Lobato, J.M.[José Miguel],
Molina, R.[Rafael],
Introducing instance label correlation in multiple instance learning.
Application to cancer detection on histopathological images,
PR(146), 2024, pp. 110057.
Elsevier DOI
2311
Multiple instance learning, Gaussian processes, Ising model,
Variational inference, Whole slide images, Histopathology
BibRef
Shi, J.B.[Jiang-Bo],
Tang, L.[Lufei],
Gao, Z.[Zeyu],
Li, Y.[Yang],
Wang, C.B.[Chun-Bao],
Gong, T.[Tieliang],
Li, C.[Chen],
Fu, H.Z.[Hua-Zhu],
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck
for Whole Slide Image Classification,
MedImg(42), No. 12, December 2023, pp. 3871-3883.
IEEE DOI
2312
BibRef
Liu, P.[Pei],
Ji, L.P.[Lu-Ping],
Zhang, X.Y.[Xin-Yu],
Ye, F.[Feng],
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based
Whole Slide Image Classification,
MedImg(43), No. 5, May 2024, pp. 1841-1852.
IEEE DOI Code:
WWW Link.
2405
Training, Data models, Data augmentation, Interpolation, Semantics,
Robustness, Pathology, Computational pathology, data augmentation,
whole slide image classification
BibRef
Ding, W.L.[Wei-Long],
Liao, W.Y.[Wan-Yin],
Zhu, X.J.[Xiao-Jie],
Zhu, H.B.[Hong-Bo],
A novel automatic annotation method for whole slide pathological
images combined clustering and edge detection technique,
IET-IPR(18), No. 6, 2024, pp. 1516-1529.
DOI Link
2405
convolutional neural nets, feature extraction,
image annotation, medical image processing
BibRef
Wang, H.Y.[Hong-Yi],
Luo, L.Y.[Lu-Yang],
Wang, F.[Fang],
Tong, R.F.[Ruo-Feng],
Chen, Y.W.[Yen-Wei],
Hu, H.J.[Hong-Jie],
Lin, L.[Lanfen],
Chen, H.[Hao],
Rethinking Multiple Instance Learning for Whole Slide Image
Classification: A Bag-Level Classifier is a Good Instance-Level
Teacher,
MedImg(43), No. 11, November 2024, pp. 3964-3976.
IEEE DOI Code:
WWW Link.
2411
Training, Pipelines, Vectors, Task analysis, Semantics,
Iterative methods, Multiple instance learning, deep learning
BibRef
Qu, L.H.[Lin-Hao],
Ma, Y.F.[Ying-Fan],
Luo, X.Y.[Xiao-Yuan],
Guo, Q.H.[Qin-Hao],
Wang, M.N.[Man-Ning],
Song, Z.J.[Zhi-Jian],
Rethinking Multiple Instance Learning for Whole Slide Image
Classification: A Good Instance Classifier Is All You Need,
CirSysVideo(34), No. 10, October 2024, pp. 9732-9744.
IEEE DOI Code:
WWW Link.
2411
Feature extraction, Training, Prototypes, Task analysis, Noise,
Circuits and systems, Aggregates, Multiple instance learning,
whole slide image classification
BibRef
Chen, W.T.[Wen-Ting],
Liu, J.[Jie],
Chow, T.W.S.[Tommy W. S.],
Yuan, Y.X.[Yi-Xuan],
STAR-RL: Spatial-Temporal Hierarchical Reinforcement Learning for
Interpretable Pathology Image Super-Resolution,
MedImg(43), No. 12, December 2024, pp. 4368-4379.
IEEE DOI Code:
WWW Link.
2412
Pathology, Image restoration, Superresolution,
Markov decision processes, Biology, Spatial resolution, Closed box,
whole slide imaging
BibRef
Yan, R.[Renao],
Sun, Q.[Qiehe],
Jin, C.[Cheng],
Liu, Y.Q.[Yi-Qing],
He, Y.H.[Yong-Hong],
Guan, T.[Tian],
Chen, H.[Hao],
Shapley Values-Enabled Progressive Pseudo Bag Augmentation for
Whole-Slide Image Classification,
MedImg(44), No. 1, January 2025, pp. 588-597.
IEEE DOI Code:
WWW Link.
2501
Training, Tumors, Task analysis, Noise, Indexes, Pathology,
Image resolution, Shapley value, computational pathology
BibRef
Chikontwe, P.[Philip],
Kim, M.[Meejeong],
Jeong, J.[Jaehoon],
Sung, H.J.[Hyun Jung],
Go, H.[Heounjeong],
Nam, S.J.[Soo Jeong],
Park, S.H.[Sang Hyun],
FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning
With Transformer for Whole Slide Image Classification,
MedImg(44), No. 1, January 2025, pp. 409-421.
IEEE DOI Code:
WWW Link.
2501
Transformers, Feature extraction, Task analysis,
Medical diagnostic imaging, Benchmark testing, Vectors,
weakly supervised learning
BibRef
Zhang, Y.L.[Yun-Long],
Li, H.[Honglin],
Sun, Y.[Yunxuan],
Zheng, S.[Sunyi],
Zhu, C.[Chenglu],
Yang, L.[Lin],
Attention-challenging Multiple Instance Learning for Whole Slide Image
Classification,
ECCV24(LIII: 125-143).
Springer DOI
2412
BibRef
Bai, Y.[Yu],
Zhang, B.[Bo],
Zhang, Z.[Zheng],
Yan, S.[Shuo],
Ma, Z.[Zibo],
Liu, W.[Wu],
Zhou, X.Z.[Xiu-Zhuang],
Gong, X.Y.[Xiang-Yang],
Wang, W.D.[Wen-Dong],
Norma: A Noise Robust Memory-augmented Framework for Whole Slide Image
Classification,
ECCV24(LI: 420-437).
Springer DOI
2412
BibRef
Zhu, W.H.[Wen-Hui],
Chen, X.[Xiwen],
Qiu, P.[Peijie],
Sotiras, A.[Aristeidis],
Razi, A.[Abolfazl],
Wang, Y.L.[Ya-Lin],
Dgr-mil: Exploring Diverse Global Representation in Multiple Instance
Learning for Whole Slide Image Classification,
ECCV24(XXXVIII: 333-351).
Springer DOI
2412
BibRef
Qu, L.[Linhao],
Yang, D.K.[Ding-Kang],
Huang, D.[Dan],
Guo, Q.[Qinhao],
Luo, R.[Rongkui],
Zhang, S.T.[Shao-Ting],
Wang, X.S.[Xiao-Song],
Pathology-knowledge Enhanced Multi-instance Prompt Learning for
Few-Shot Whole Slide Image Classification,
ECCV24(XI: 196-212).
Springer DOI
2412
BibRef
Bui, D.C.[Doanh C.],
Kwak, J.T.[Jin Tae],
Mecformer: Multi-task Whole Slide Image Classification with Expert
Consultation Network,
ACCV24(II: 72-87).
Springer DOI
2412
BibRef
Chen, P.Y.[Ping-Yi],
Zhu, C.L.[Cheng-Lu],
Zheng, S.[Sunyi],
Li, H.L.[Hong-Lin],
Yang, L.[Lin],
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question
Answering,
ECCV24(XXXVI: 401-417).
Springer DOI
2412
BibRef
Zheng, T.T.[Ting-Ting],
Jiang, K.[Kui],
Yao, H.X.[Hong-Xun],
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole
Slide Image Classification,
CVPR24(8028-8037)
IEEE DOI
2410
Histopathology, Decision making, Refining, Lung cancer,
Reinforcement learning, Predictive models, Information filters,
Whole slide image analysis
BibRef
Shi, J.B.[Jiang-Bo],
Li, C.[Chen],
Gong, T.[Tieliang],
Zheng, Y.F.[Ye-Feng],
Fu, H.Z.[Hua-Zhu],
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for
Whole Slide Image Classification,
CVPR24(11248-11258)
IEEE DOI
2410
Pathology, Visualization, Aggregates, Large language models,
Computational modeling, Prototypes, Histopathology,
Vision-Language Models
BibRef
Li, J.[Jiawen],
Chen, Y.X.[Yu-Xuan],
Chu, H.B.[Hong-Bo],
Sun, Q.[Qiehe],
Guan, T.[Tian],
Han, A.[Anjia],
He, Y.H.[Yong-Hong],
Dynamic Graph Representation with Knowledge-Aware Attention for
Histopathology Whole Slide Image Analysis,
CVPR24(11323-11332)
IEEE DOI Code:
WWW Link.
2410
Representation learning, Head, Image analysis, Histopathology,
Heuristic algorithms, Microscopy
BibRef
Li, H.[Hao],
Chen, Y.[Ying],
Chen, Y.F.[Yi-Fei],
Yu, R.S.[Rong-Shan],
Yang, W.X.[Wen-Xian],
Wang, L.S.[Lian-Sheng],
Ding, B.[Bowen],
Han, Y.C.[Yu-Chen],
Generalizable Whole Slide Image Classification with Fine-Grained
Visual-Semantic Interaction,
CVPR24(11398-11407)
IEEE DOI Code:
WWW Link.
2410
Training, Representation learning, Visualization, Pathology,
Computational modeling, Large language models, Semantics,
Vision-Language-Model
BibRef
Harb, R.[Robert],
Pock, T.[Thomas],
Müller, H.[Heimo],
Diffusion-based generation of Histopathological Whole Slide Images at
a Gigapixel scale,
WACV24(5119-5128)
IEEE DOI
2404
Training, Pathology, Data privacy, Image resolution, Image synthesis,
Annotations, Algorithms, Generative models for image, video, 3D, etc.,
Biomedical / healthcare / medicine
BibRef
Raswa, F.H.[Farchan Hakim],
Lu, C.S.[Chun-Shien],
Wang, J.C.[Jia-Ching],
Attention-Guided Prototype Mixing: Diversifying Minority Context on
Imbalanced Whole Slide Images Classification Learning,
WACV24(7609-7618)
IEEE DOI
2404
Training, Pairwise error probability, Image resolution, Semantics,
Memory management, Prototypes, Transformers, Applications,
and algorithms
BibRef
Clark, S.[Samuel],
Green, R.[Richard],
Segmentation of Tissue Regions in Whole Slide Images Using
Hand-Crafted Image Features,
IVCNZ23(1-6)
IEEE DOI
2403
Image segmentation, Pathology, Machine learning algorithms,
Classification algorithms, Reliability, Standards, Random forests,
Texture descriptors
BibRef
Fang, K.[Kun],
Jia, J.J.[Jing-Jing],
A whole-slide pathology segmentation framework for the diagnosis of
non-small cell lung cancer,
CVIDL23(310-313)
IEEE DOI
2403
Deep learning, Training, Image segmentation, Pathology,
Statistical analysis, Biopsy, Lung cancer, Whole slide image,
Image classification
BibRef
Qu, L.H.[Lin-Hao],
Yang, Z.W.[Zhi-Wei],
Duan, M.H.[Ming-Hong],
Ma, Y.F.[Ying-Fan],
Wang, S.[Shuo],
Wang, M.[Manning],
Song, Z.J.[Zhi-Jian],
Boosting Whole Slide Image Classification from the Perspectives of
Distribution, Correlation and Magnification,
ICCV23(21406-21416)
IEEE DOI Code:
WWW Link.
2401
BibRef
Shao, Z.C.[Zhu-Chen],
Wang, Y.F.[Yi-Feng],
Chen, Y.[Yang],
Bian, H.[Hao],
Liu, S.H.[Shao-Hui],
Wang, H.Q.[Hao-Qian],
Zhang, Y.B.[Yong-Bing],
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple
Instance Learning in Whole Slide Image,
ICCV23(21438-21438)
IEEE DOI
2401
BibRef
Tang, W.H.[Wen-Hao],
Huang, S.[Sheng],
Zhang, X.X.[Xiao-Xian],
Zhou, F.T.[Feng-Tao],
Zhang, Y.[Yi],
Liu, B.[Bo],
Multiple Instance Learning Framework with Masked Hard Instance Mining
for Whole Slide Image Classification,
ICCV23(4055-4064)
IEEE DOI Code:
WWW Link.
2401
BibRef
Huang, Y.Y.[Yan-Yan],
Zhao, W.Q.[Wei-Qin],
Wang, S.J.[Shu-Jun],
Fu, Y.[Yu],
Jiang, Y.M.[Yu-Ming],
Yu, L.Q.[Le-Quan],
ConSlide: Asynchronous Hierarchical Interaction Transformer with
Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis,
ICCV23(21292-21303)
IEEE DOI
2401
BibRef
Chan, T.H.[Tsai Hor],
Cendra, F.J.[Fernando Julio],
Ma, L.[Lan],
Yin, G.S.[Guo-Sheng],
Yu, L.Q.[Le-Quan],
Histopathology Whole Slide Image Analysis with Heterogeneous Graph
Representation Learning,
CVPR23(15661-15670)
IEEE DOI
2309
BibRef
Lin, T.C.[Tian-Cheng],
Yu, Z.M.[Zhi-Miao],
Hu, H.Y.[Hong-Yu],
Xu, Y.[Yi],
Chen, C.W.[Chang Wen],
Interventional Bag Multi-Instance Learning On Whole-Slide
Pathological Images,
CVPR23(19830-19839)
IEEE DOI
2309
BibRef
Chen, Y.C.[Yuan-Chih],
Lu, C.S.[Chun-Shien],
RankMix: Data Augmentation for Weakly Supervised Learning of
Classifying Whole Slide Images with Diverse Sizes and Imbalanced
Categories,
CVPR23(23936-23945)
IEEE DOI
2309
BibRef
Li, H.L.[Hong-Lin],
Zhu, C.L.[Cheng-Lu],
Zhang, Y.L.[Yun-Long],
Sun, Y.X.[Yu-Xuan],
Shui, Z.Y.[Zhong-Yi],
Kuang, W.W.[Wen-Wei],
Zheng, S.[Sunyi],
Yang, L.[Lin],
Task-Specific Fine-Tuning via Variational Information Bottleneck for
Weakly-Supervised Pathology Whole Slide Image Classification,
CVPR23(7454-7463)
IEEE DOI
2309
BibRef
Launet, L.[Laëtitia],
Colomer, A.[Adrián],
Mosquera-Zamudio, A.[Andrés],
Moscardó, A.[Anaďs],
Monteagudo, C.[Carlos],
Naranjo, V.[Valery],
A Self-Training Weakly-Supervised Framework for Pathologist-Like
Histopathological Image Analysis,
ICIP22(3401-3405)
IEEE DOI
2211
Training, Pathology, Image analysis, Annotations,
Biological system modeling, Data models, Skin, self-training,
whole slide images
BibRef
Alhammad, S.[Sarah],
Zhao, K.[Kun],
Jennings, A.[Anthony],
Hobson, P.[Peter],
Smith, D.F.[Daniel F.],
Baker, B.[Brett],
Staweno, J.[Justin],
Lovell, B.C.[Brian C.],
Efficient DNN-Based Classification of Whole Slide Gram Stain Images
for Microbiology,
DICTA21(01-08)
IEEE DOI
2201
Training, Deep learning, Pathology, Microorganisms, Protocols, Oils,
Microscopy, Bacteria Classification, DNN, Computer Aided Diagnosis,
Digital Pathology
BibRef
Weitz, P.[Philippe],
Wang, Y.[Yinxi],
Hartman, J.[Johan],
Rantalainen, M.[Mattias],
An investigation of attention mechanisms in histopathology
whole-slide-image analysis for regression objectives,
CDPath21(611-619)
IEEE DOI
2112
Analytical models, Histopathology,
Computational modeling, Focusing, Predictive models
BibRef
Chan, L.,
Hosseini, M.,
Rowsell, C.,
Plataniotis, K.,
Damaskinos, S.,
HistoSegNet: Semantic Segmentation of Histological Tissue Type in
Whole Slide Images,
ICCV19(10661-10670)
IEEE DOI
2004
biological tissues, convolutional neural nets,
image segmentation, medical image processing, random processes, Cams
BibRef
Stanisavljevic, M.[Milos],
Anghel, A.[Andreea],
Papandreou, N.[Nikolaos],
Andani, S.[Sonali],
Pati, P.[Pushpak],
Rüschoff, J.H.[Jan Hendrik],
Wild, P.[Peter],
Gabrani, M.[Maria],
Pozidis, H.[Haralampos],
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide
Images in Histopathology,
BioIm18(VI:424-436).
Springer DOI
1905
BibRef
Gadermayr, M.[Michael],
Strauch, M.[Martin],
Klinkhammer, B.M.[Barbara Mara],
Djudjaj, S.[Sonja],
Boor, P.[Peter],
Merhof, D.[Dorit],
Domain Adaptive Classification for Compensating Variability in
Histopathological Whole Slide Images,
ICIAR16(616-622).
Springer DOI
1608
BibRef
Toutain, M.,
Lézoray, O.,
Audigié, F.,
Busoni, V.,
Rossi, G.,
Parillo, F.,
El Moataz, A.,
Analysis of Whole Slide Images of Equine Tendinopathy,
ICIAR12(II: 440-447).
Springer DOI
1206
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Fluorescence Analysis, Microscopic Analysis, Cells .