https://github.com/truetqy/lesion_det_dual_att
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection
Papers with Code 아카이브
Computed Tomography (CT)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.
<span style="color:grey; opacity: 0.6">( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tslgit0/CT5
https://github.com/uci-cbcl/DeepLung
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
https://github.com/uncbiag/InverseConsistency
$\texttt{GradICON}$: Approximate Diffeomorphisms via Gradient Inverse Consistency
https://github.com/uncbiag/PIANO
https://github.com/vios-s/csdisentanglement_metrics_library
Disentangled Representation Learning in Cardiac Image Analysis
https://github.com/wentaozhu/DeepEM-for-Weakly-Supervised-Detection
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection
https://github.com/xiaoqi-zhao-dlut/msnet-m2snet
M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
https://github.com/xiaoxuegao499/LA-DNN-for-COVID-19-diagnosis
https://github.com/xiuchaos/lungCT
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network
https://github.com/xuehangzheng/PWLS-ULTRA-for-Low-Dose-3D-CT-Image-Reconstruction
https://github.com/xxxliu95/RA_FA_Cardiac
Disentangled Representation Learning in Cardiac Image Analysis
https://github.com/yaozhang93/mmformer
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
https://github.com/yqx7150/ivan
https://github.com/yqx7150/sword
One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging
https://github.com/yqx7150/van-icc
https://github.com/yqx7150/vca
https://github.com/ziyangwang007/vmambamorph
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
https://github.com/zz10001/LITS2017-main1
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.