Pinned Repositories
CLAM
Attention-based Active Sampling in Multiple Instance Learning.
DigiPathAI
Digital Pathology AI
Digital_pathology_tool_wiki
Collected links to useful digital pathology tools
DRAS-MIL
Discriminative Region Active Sampling for Multiple Instance Learning
HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
HIPT_ABMIL_ATEC23
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning
IDSvsStaging
Evaluation of Ovarian Carcinoma Subtyping in Primary versus Interval Debulking Surgery Specimen WSIs
MIDOG_Domain_Adaptation
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images
Ovarian_Subtype_Mags
Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping
OvCaReview
Diagnostic Artificial Intelligence in Histopathology of Ovarian Cancer: A Systematic Review
scjjb's Repositories
scjjb/HIPT_ABMIL_ATEC23
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning
scjjb/DRAS-MIL
Discriminative Region Active Sampling for Multiple Instance Learning
scjjb/MIDOG_Domain_Adaptation
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images
scjjb/Ovarian_Subtype_Mags
Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping
scjjb/CLAM
Attention-based Active Sampling in Multiple Instance Learning.
scjjb/DigiPathAI
Digital Pathology AI
scjjb/Digital_pathology_tool_wiki
Collected links to useful digital pathology tools
scjjb/HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
scjjb/IDSvsStaging
Evaluation of Ovarian Carcinoma Subtyping in Primary versus Interval Debulking Surgery Specimen WSIs
scjjb/OvCaReview
Diagnostic Artificial Intelligence in Histopathology of Ovarian Cancer: A Systematic Review
scjjb/Leeds-Harvard-Style-Ref-for-LaTeX
A .bts to reference in Leeds Harvard Style (Currently following 2018-2019 rule. Modified for paper reference only. Update to follow.
scjjb/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
scjjb/MIDOG_reference_docker
Reference implementation of domain-adversarial training on a RetinaNet (to use as template in the MIDOG challenge)
scjjb/MIL-nature-medicine-2019
scjjb/OCEAN
scjjb/Ovarian_Features
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification
scjjb/pneumothorax_segmentation
SIIM-ACR Pneumothorax Segmentation first place solution
scjjb/stylegan
StyleGAN - Official TensorFlow Implementation
scjjb/turing-roche-partnership
scjjb/vision
Datasets, Transforms and Models specific to Computer Vision