A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22862
Abstract: In COVID19 management, CT images are used as noninvasive diagnostic tools for screening and disease monitoring. Segmentation of infections provides valuable visual interpretations in the process of prognosis and decision making. Segmentation of COVID19 infection… read more here.
Keywords: segmentation classification; infection; segmentation; chest images ... See more keywords
Multiscale Dynamic Attention Framework for Skin Lesion Segmentation and Classification
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70130
Abstract: This paper proposes a multitask deep learning framework for simultaneous skin lesion segmentation and classification, tailored for resource‐constrained environments. The architecture integrates ShuffleNet as an encoder within a U‐Net framework as a decoder to extract… read more here.
Keywords: skin lesion; framework; segmentation; lesion segmentation ... See more keywords
Machine learning models for segmentation and classification of cyanobacterial cells
Sign Up to like & getrecommendations! Published in 2025 at "Photosynthesis Research"
DOI: 10.1007/s11120-025-01140-x
Abstract: Timelapse microscopy has recently been employed to study the metabolism and physiology of cyanobacteria at the single-cell level. However, the identification of individual cells in brightfield images remains a significant challenge. Traditional intensity-based segmentation algorithms… read more here.
Keywords: classification; learning models; segmentation; machine learning ... See more keywords
Kernel sparse representation based model for skin lesions segmentation and classification
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105038
Abstract: BACKGROUND AND OBJECTIVES Melanoma is a dangerous kind of skin disease with a high death rate, and its prevalence has increased rapidly in recent years. Diagnosis of melanoma in a primary phase can be helpful… read more here.
Keywords: sparse representation; kernel sparse; segmentation classification;
MultiR-Net: A Novel Joint Learning Network for COVID-19 segmentation and classification
Sign Up to like & getrecommendations! Published in 2022 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2022.105340
Abstract: The outbreak of COVID-19 has caused a severe shortage of healthcare resources. Ground Glass Opacity (GGO) and consolidation of chest CT scans have been an essential basis for imaging diagnosis since 2020. The similarity of… read more here.
Keywords: segmentation classification; learning; multir net; segmentation ... See more keywords
A hybrid segmentation and classification CAD framework for automated myocardial infarction prediction from MRI images
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-98893-1
Abstract: Early diagnosis of myocardial infarction (MI) is critical for preserving cardiac function and improving patient outcomes through timely intervention. This study proposes an annovaitive computer-aided diagnosis (CAD) system for the simultaneous segmentation and classification of… read more here.
Keywords: classification; segmentation; mri images; myocardial infarction ... See more keywords
Segmentation and classification of thyroid follicular neoplasm using cascaded convolutional neural network.
Sign Up to like & getrecommendations! Published in 2020 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/abc6f2
Abstract: In this paper, we present a segmentation and classification method for thyroid follicular neoplasm based on the combination of the prior-based level set method and deep convolutional neural network (DCNN).The proposed method aims to discriminate… read more here.
Keywords: classification; network; follicular neoplasm; segmentation ... See more keywords
Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study.
Sign Up to like & getrecommendations! Published in 2022 at "European journal of orthodontics"
DOI: 10.1093/ejo/cjac047
Abstract: OBJECTIVE Tooth segmentation and classification from cone-beam computed tomography (CBCT) is a prerequisite for diagnosis and treatment planning in the majority of digital dental workflows. However, an accurate and efficient segmentation of teeth in the… read more here.
Keywords: segmentation classification; classification; segmentation; classification teeth ... See more keywords
SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3149936
Abstract: Automated nuclei segmentation and classification are the keys to analyze and understand the cellular characteristics and functionality, supporting computer-aided digital pathology in disease diagnosis. However, the task still remains challenging due to the intrinsic variations… read more here.
Keywords: network; segmentation classification; self guided; segmentation ... See more keywords
An Efficient Multi-Task Synergetic Network for Polyp Segmentation and Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3273728
Abstract: Colonoscopy is considered the best diagnostic tool for early detection and resection of polyps, which can effectively prevent consequential colorectal cancer. In clinical practice, segmenting and classifying polyps from colonoscopic images have a great significance… read more here.
Keywords: emts net; polyp segmentation; segmentation classification; segmentation ... See more keywords
ZSG-Net: A Zero-Shot Super-Resolution Guided Network for Ultrasound Image Segmentation and Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2025.3584505
Abstract: Automated ultrasound (US) image analysis is hindered by challenges stemming from low resolution, noise, and non-uniform grayscale distribution, which compromise image quality. While many existing studies address these issues using super-resolution (SR) techniques, they often… read more here.
Keywords: image; zero shot; super resolution; segmentation classification ... See more keywords