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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BMIRDS/deepslide
공식 코드https://github.com/DIAL-RPI/KAMP-Net
공식 코드Knowledge-based Analysis for Mortality Prediction from CT Images
https://github.com/HazyResearch/model-patching
공식 코드Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
https://github.com/Heroandzhang/dataset_process
공식 코드https://github.com/ImagingLab/ICIAR2018
공식 코드Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification
https://github.com/KyleYoung1997/DNNorDermatologist
공식 코드https://github.com/MIDA-group/OralScreen
공식 코드A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images
https://github.com/MIMBCD-UI/prototype-multi-modality
공식 코드BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
https://github.com/ac005sheekar/ceimven-breast
공식 코드https://github.com/ac005sheekar/ceimven-cutting-edge-implementation-of-modified-efficientnet-v1-v2-for-breast-cancer-detection
공식 코드https://github.com/alceubissoto/gan-skin-lesion
공식 코드https://github.com/alexander-rakhlin/ICIAR2018
공식 코드Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
https://github.com/ameliajimenez/curriculum-federated-learning
공식 코드Memory-aware curriculum federated learning for breast cancer classification
https://github.com/amyraff/concept-explanations
공식 코드Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
https://github.com/ayushroy2001/wagf-fusion
공식 코드A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion
https://github.com/batmanlab/mammo-clip
공식 코드https://github.com/benkeel/vae_lung_lesion_bmvc
공식 코드Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions
https://github.com/bghojogh/Fisher-Triplet-Contrastive-Loss
공식 코드Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
https://github.com/bghojogh/Histopathology-Magnification-Generalization
공식 코드Magnification Generalization for Histopathology Image Embedding
https://github.com/bonaventuredossou/ece526_course_project
공식 코드A Study of Acquisition Functions for Medical Imaging Deep Active Learning
https://github.com/bupt-ai-cz/BCI
공식 코드BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
https://github.com/caiguohui123/awesome-lung-cancer-detection
공식 코드Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey
https://github.com/caiguohui123/msdet
공식 코드MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule
https://github.com/catai9/cancer-net-sca-synth
공식 코드https://github.com/cgalaz01/self_contrastive_mwr
공식 코드https://github.com/chakrabortyde/rsna-breast-cancer
공식 코드https://github.com/fabioperez/skin-data-augmentation
공식 코드https://github.com/fitushar/AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets
공식 코드AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
https://github.com/hasibzunair/adversarial-lesions
공식 코드Melanoma Detection using Adversarial Training and Deep Transfer Learning
https://github.com/iamownt/TRUECAM
공식 코드https://github.com/isidroc/kekulescope
공식 코드https://github.com/jafarinia/snuffy
공식 코드https://github.com/joe1chief/windownormalizaion
공식 코드https://github.com/lalonderodney/X-Caps
공식 코드Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses
https://github.com/leandropassosjr/opfimb
공식 코드$\text{O}^2$PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.