Breast cancer classification in pathological images based on hybrid features
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DOI: 10.1007/s11042-019-7468-9
Abstract: Breast cancer has become an important factor affecting human health. Diagnosis based on pathological images is considered the gold standard in the clinic. In this paper, an automatic breast cancer detection method based on hybrid… read more here.
Keywords: classification; breast cancer; based hybrid; hybrid features ... See more keywords
CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images
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DOI: 10.1109/access.2019.2901049
Abstract: Survival analysis is a branch of statistics to analyze the time duration that is expected until some events of interest happen, like the death in the organisms of biology. Currently, survival analysis based on pathological… read more here.
Keywords: whole slide; survival analysis; slide pathological; pathological images ... See more keywords
Research on Application of Classification Model Based on Stack Generalization in Staging of Cervical Tissue Pathological Images
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DOI: 10.1109/access.2021.3064040
Abstract: Cervical cancer is a malignant tumor that threatens women’s health and life. Cervical pathology examination, as the gold standard for cervical cancer diagnosis, provides an important basis for the surgical plan and postoperative follow-up strategy… read more here.
Keywords: classification model; pathology; accuracy; classification ... See more keywords
A Medically Assisted Model for Precise Segmentation of Osteosarcoma Nuclei on Pathological Images.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3278303
Abstract: Osteosarcoma is the most common malignant bone tumor with a high degree of malignancy and misdiagnosis rates. Pathological images are crucial for its diagnosis. However, underdeveloped regions currently lack sufficient high-level pathologists, leading to uncertain… read more here.
Keywords: pathological images; assisted model; osteosarcoma pathological; segmentation ... See more keywords
A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2884563
Abstract: Using multi-atlas registration (MAR), information carried by atlases can be transferred onto a new input image for the tasks of region-of-interest (ROI) segmentation, anatomical landmark detection, and so on. Conventional atlases used in MAR methods… read more here.
Keywords: registration; mar; multimodal pathological; framework ... See more keywords
Research on the classification of lymphoma pathological images based on deep residual neural network
Sign Up to like & getrecommendations! Published in 2021 at "Technology and Health Care"
DOI: 10.3233/thc-218031
Abstract: BACKGROUND: Malignant lymphoma is a type of tumor that originated from the lymphohematopoietic system, with complex etiology, diverse pathological morphology, and classification. It takes a lot of time and energy for doctors to accurately determine… read more here.
Keywords: neural network; deep residual; residual neural; classification ... See more keywords
Evaluating Cancer-Related Biomarkers Based on Pathological Images: A Systematic Review
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2021.763527
Abstract: Many diseases are accompanied by changes in certain biochemical indicators called biomarkers in cells or tissues. A variety of biomarkers, including proteins, nucleic acids, antibodies, and peptides, have been identified. Tumor biomarkers have been widely… read more here.
Keywords: tumor; tumor biomarkers; image; pathological images ... See more keywords