Papers with Code 아카이브

Brain Tumor Classification

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AIGeeksGroup/MediAug

공식 코드

MediAug: Exploring Visual Augmentation in Medical Imaging

https://github.com/aywi/mprotonet

공식 코드

MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging

https://github.com/duyhominhnguyen/LVM-Med

공식 코드

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

https://github.com/haail/fins-for-biomedical-imaging

공식 코드

Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks

https://github.com/mayurmallya/deepguide

공식 코드

Deep Multimodal Guidance for Medical Image Classification

https://github.com/razaimam45/ai701-project-transfer-learning-approach-for-imbalance-classification-of-brain-tumor-mri-

공식 코드

Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models

https://github.com/russelljeffrey/FedBrain-Distill

공식 코드

FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data

https://github.com/simonzhou86/en_dran

공식 코드

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion

https://github.com/tuat-novice/maprotonet

공식 코드

MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification

https://github.com/gaetanosettembre/BrainTumor_clf_TDA

https://github.com/nafiuny/Optimized_TumorClassifierResNetSD

Deep Multimodal Guidance for Medical Image Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.