Review of semantic segmentation of medical images using modified architectures of UNET

M Krithika Alias AnbuDevi, K Suganthi - Diagnostics, 2022 - mdpi.com
In biomedical image analysis, information about the location and appearance of tumors and
lesions is indispensable to aid doctors in treating and identifying the severity of diseases …

Fast fully automatic heart fat segmentation in computed tomography datasets

VHC de Albuquerque, DA Rodrigues, RF Ivo… - … Medical Imaging and …, 2020 - Elsevier
Heart diseases affect a large part of the world's population. Studies have shown that these
diseases are related to cardiac fat. Various medical diagnostic aid systems are developed to …

Corpus callosum shape signature for segmentation evaluation

WG Herrera, M Bento, L Rittner - … : CBEB 2018, Armação de Buzios, RJ …, 2019 - Springer
Corpus callosum is the greatest white matter structure in brain. It is located beneath the
cortex and connects both of two hemispheres, making possible their communication. Corpus …

Segmenting prostate cancer on TRUS images with a small dataset: A comprehensive methodology

DA Lyutkin, AY Romanov… - … Russian Smart Industry …, 2023 - ieeexplore.ieee.org
The use of mathematical algorithms for disease identification has gained traction in recent
years and has paved the way for the creation of novel tools that can swiftly and accurately …

An Improved Canny Algorithm Based on Median Filtering and Adaptive Threshold in Robot Training System

Y Bao, D Wu - 2015 6th International Conference on …, 2015 - atlantis-press.com
The system of robot virtual operation training requires effective soft-tissue organ models, of
which the shape and size shall be obtained according to patients' medical image. The way …

[PDF][PDF] Metodologia de avaliação de segmentações 2D do corpo caloso em imagens de ressonância magnética de difusão através do perfil de curvatura

WJG Herrera - 2017 - core.ac.uk
METODOLOGIA DE AVALIAÇÃO DE SEGMENTAÇÕES 2D DO CORPO CALOSO EM
IMAGENS DE RESSONÂNCIA MAGNÉTICA DE DIFUSÃO ATRAVÉS DO PE Page 1 …

[PDF][PDF] Automatic quality control of corpus callosum segmentations in large population studies: comparing deep and classical learning Controle de qualidade …

WJG Herrera - 2020 - repositorio.unicamp.br
The corpus callosum (CC) is the largest white matter structure in the central nervous system,
allowing communication between both brain cortical hemispheres. This structure is …

[引用][C] An algorithm for plant disease visual symptom detection in digital images based on superpixels

IF Salazar-Reque, SG Huamán, G Kemper… - … Journal on Advanced …, 2019 - Insight Society