Medical 3D Vision

ACSConv

[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!

Kickstart

Study route for learners in machine learning / deep learning / computer vision

RibSeg

[MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans

FracNet

[eBioMedicine] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

RibFrac-Challenge

MICCAI 2020 RibFrac Challenge: Rib Fracture Detection and Classification (3D Instance Segmentation)

AlignShift

[MICCAI'21 & MICCAI'20] A Codebase for Universal Lesion Detection (DeepLesion SOTA)

pulmonary-tree-repairing

[MICCAI'23] Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset

ImPulSe

NeAR

[MICCAI'22] Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

ai-deadlines

:alarm_clock: top AI deadline countdowns (with an emphasis on computer vision and medical images)

SimTA

[MICCAI'20] MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response

MELA-Challenge

MICCAI 2022 MELA Challenge: Mediastinal Lesion Analysis (3D Detection)

LeFusion