Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets

no code implementations • 21 Nov 2019 • Hasnine Haque, Masahiro Hashimoto, Nozomu Uetake, Masahiro Jinzaki

Purpose: We propose a 2. 5D deep learning neural network (DLNN) to automatically classify thigh muscle into 11 classes and evaluate its classification accuracy over 2D and 3D DLNN when trained with limited datasets.

Segmentation Semantic Segmentation