Reference Structure
(https://doi.org/10.3389/fcvm.2020.00025)
-
Multi-modality cardiac image computing: A survey - MedIA2023
-
Deep Learning for Cardiac Image Segmentation: A Review - Frontiers in Cardiovascular Medicine2020
[Note] -
SAM 2: Segment Anything in Images and Videos - arxiv2024
[Note] -
A survey on shape-constraint deep learning for medical image segmentation - BME2021
-
Learning with Explicit Shape Priors for Medical Image Segmentation - TMI2024
-
Shape-Aware Deep Neural Networks for Biomedical Image Segmentation - ICCV2021
Oct/30 Update:
-
Results of SAM2 on 4 datasets
-
Inspiration from MICCAI 2024 paper
-
Purpose of cardiac segmentation in clinical application; applicable medical scenario
Nov/6 and Nov/13 Update:
-
Literature Review on Shape Prior
[Note] -
Literature Review on Video Segmentation (How to tackle temporal information)
[Note]
Nov/20 Update:
Dec/5 Update:
-
Design of loss function to add shape constraint in the training loop
-
LORA on fine tuning
-
Metric that measure accuracy for edges
Done
-
Literature Review on Shape Prior
- Feasible method for shape prior for anatomically aware block
-
Literature Review on video segmentation
-
SAM2 on 2 datasets [Marcia]
-
Comparison Test for 2 datasets:
-
nnUNet [Arjun]
-
MedSAM2 [Arjun]
-
TransUNet
-
-
Comparision Test:
-
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
-
Deep Conditional Shape Models for 3D Cardiac Segmentation
-