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
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
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
HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2672702
Abstract: Reliable identification of Human Epithelial-2 (HEp-2) cell patterns can facilitate the diagnosis of systemic autoimmune diseases. However, traditional approach requires experienced experts to manually recognize the cell patterns, which suffers from the inter-observer variability. In… read more here.
Keywords: hep specimen; network; segmentation; fully convolutional ... See more keywords
Segmentation and classification of consumer-grade and dermoscopic skin cancer images using hybrid textural analysis system (Erratum)
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.6.3.039802
Abstract: Abstract. This erratum corrects the spelling of an author’s name. read more here.
Keywords: classification consumer; dermoscopic skin; grade dermoscopic; consumer grade ... See more keywords
A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/1709842
Abstract: Skin cancer is one of the most common diseases that can be initially detected by visual observation and further with the help of dermoscopic analysis and other tests. As at an initial stage, visual observation… read more here.
Keywords: segmentation classification; skin lesion; classification; segmentation ... See more keywords
A fully automated deep learning pipeline for high-throughput colony segmentation and classification.
Sign Up to like & getrecommendations! Published in 2020 at "Biology open"
DOI: 10.1242/bio.052936
Abstract: Adenine auxotrophy is a commonly used non-selective genetic marker in yeast research. It allows investigators to easily visualize and quantify various genetic and epigenetic events by simply reading out colony color. However, manual counting of… read more here.
Keywords: colony; pipeline; fully automated; segmentation classification ... See more keywords