papers

Publications (8)

cs.CV2020

Deep Snake for Real-Time Instance Segmentation

Sida Peng, Wen Jiang, Huaijin Pi +3

This paper introduces a novel contour-based approach named deep snake for real-time instance segmentation. Unlike some recent methods that directly regress the coordinates of the o…

eess.IV2020

Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation

Shen Wang, Kongming Liang, Chengwei Pan +5

The midline related pathological image features are crucial for evaluating the severity of brain compression caused by stroke or traumatic brain injury (TBI). The automated midline…

cs.CV2019

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

Wenhui Cui, Yanlin Liu, Yuxing Li +6

Automated brain lesion segmentation provides valuable information for the analysis and intervention of patients. In particular, methods based on convolutional neural networks (CNNs…

cs.CV2018

Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion

Benyuan Sun, Zhen Zhou, Fandong Zhang +2

Lung nodules suffer large variation in size and appearance in CT images. Nodules less than 10mm can easily lose information after down-sampling in convolutional neural networks, wh…

cs.CV2019

MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma

Huai Chen, Yuxiao Qi, Yong Yin +5

Segmentation of nasopharyngeal carcinoma (NPC) from Magnetic Resonance Images (MRI) is a crucial prerequisite for NPC radiotherapy. However, manually segmenting of NPC is time-cons…

cs.CV2024

PSTNet: Enhanced Polyp Segmentation with Multi-scale Alignment and Frequency Domain Integration

Wenhao Xu, Rongtao Xu, Changwei Wang +3

Accurate segmentation of colorectal polyps in colonoscopy images is crucial for effective diagnosis and management of colorectal cancer (CRC). However, current deep learning-based…