384 citations
4 papers
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…
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…
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…
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…