CAMEL: A Weakly Supervised Learning Framework for Histopathology Image
Segmentation

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

28 August 2019

Papers citing "CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation"

17 / 17 papers shown

Title
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Jiangbo Shi Chen Li Tieliang Gong Yefeng Zheng Huazhu Fu VLM 60 7 0 12 Feb 2025
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Zijie Fang Yifeng Wang Peizhang Xie Zhi Wang Yongbing Zhang 41 0 0 31 Dec 2024
Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Clinical Pathology Analysis Shengxuming Zhang Weihan Li Tianhong Gao Jiacong Hu Haoming Luo Mingli Song Xiuming Zhang Mingli Song Zunlei Feng LM&MA 101 0 0 12 Dec 2024
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction Hao Li Ying Chen Yifei Chen Wenxian Yang Bowen Ding Yuchen Han Liansheng Wang Rongshan Yu 31 15 0 29 Feb 2024
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification Wenhao Tang Sheng Huang Xiaoxian Zhang Fengtao Zhou Yi Zhang Bo Liu 26 39 0 28 Jul 2023
The Whole Pathological Slide Classification via Weakly Supervised Learning Qiehe Sun Jiawen Li Jin Xu Junru Cheng Tian Guan Yonghong He 29 0 0 12 Jul 2023
Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer Yongquan Yang Jie Chen Yani Wei Mohammad H. Alobaidi Hong Bu NoLa 40 1 0 13 Apr 2023
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu Weicheng Zhu Yiqiu Shen Sheng Liu N. Razavian Krzysztof J. Geras C. Fernandez‐Granda SSL 28 24 0 17 Oct 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 15 56 0 18 Aug 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction Tiancheng Lin Hongteng Xu Canqian Yang Yi Xu 16 24 0 20 Apr 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification Hongrun Zhang Y. Meng Yitian Zhao Yihong Qiao Xiaoyun Yang Sarah E Coupland Yalin Zheng 14 271 0 22 Mar 2022
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression Niccolo Marini M. Atzori Sebastian Otalora Stéphane Marchand-Maillet Henning Muller MedIm 28 11 0 17 Jan 2022
One-Step Abductive Multi-Target Learning with Diverse Noisy Samples and Its Application to Tumour Segmentation for Breast Cancer Yongquan Yang Fengling Li Yani Wei Jie Chen Ning Chen Mohammad H. Alobaidi Hong Bu 18 8 0 20 Oct 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 16 8 0 15 Jun 2021
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019 Zhang Li Jiehua Zhang T. Tan Xichao Teng Xiaoliang Sun ... P. Schüffler Qifeng Yu Hui Chen Yuling Tang G. Litjens 33 86 0 21 Aug 2020
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 218 740 0 28 Mar 2018
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 153 788 0 24 Nov 2014