output
20142022
most citedAAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images

384 citations

6 papers

eess.IV2022★ 192 cited

Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation

Gongping Chen, Lei Li, JianXun Zhang +1

Breast tumor segmentation is one of the key steps that helps us characterize and localize tumor regions. However, variable tumor morphology, blurred boundary, and similar intensity…

eess.IV2022★ 384 cited

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images

Gongping Chen, Yu Dai, Jianxun Zhang +1

Various deep learning methods have been proposed to segment breast lesion from ultrasound images. However, similar intensity distributions, variable tumor morphology and blurred bo…

nlin.AO2021★ 11 cited

Transfer entropy dependent on distance among agents in quantifying leader-follower relationships

Udoy S. Basak, Sulimon Sattari, Md. Motaleb Hossain +2

Synchronized movement of (both unicellular and multicellular) systems can be observed almost everywhere. Understanding of how organisms are regulated to synchronized behavior is on…

cs.CV2019★ 1 cited

Ink removal from histopathology whole slide images by combining classification, detection and image generation models

Sharib Ali, Nasullah Khalid Alham, Clare Verrill +1

Histopathology slides are routinely marked by pathologists using permanent ink markers that should not be removed as they form part of the medical record. Often tumour regions are…

math.NA2015★ 1 cited

Sub-Riemannian Fast Marching in SE(2)

Gonzalo Sanguinetti, Erik Bekkers, Remco Duits +3

We propose a Fast Marching based implementation for computing sub-Riemanninan (SR) geodesics in the roto-translation group SE(2), with a metric depending on a cost induced by the i…

cs.LG2014★ 11 cited

Highly comparative fetal heart rate analysis

B. D. Fulcher, A. E. Georgieva, C. W. G. Redman +1

A database of fetal heart rate (FHR) time series measured from 7221 patients during labor is analyzed with the aim of learning the types of features of these recordings that are in…