Results 1 to 10 of about 256,500 (126)

Utilizing Detectron2 for accurate and efficient colon cancer detection in histopathological images [PDF]

Frontiers in Bioengineering and Biotechnology
IntroductionColon cancer ranks among the most prevalent and lethal cancers globally, emphasizing the urgent need for accurate and early diagnostic tools.
Luxi Chen, Jie Shen, Xinyu Li, Rongzhou Li, Xiaoyun Gao, Xiaoyun Gao, Xinyue Chen, Xinyue Chen, Xiaotian Pan, Xiaotian Pan, Xiaosheng Jin   +10 more
doaj   +2 more sources

An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images [PDF]

Sensors
Stroke is the second leading cause of death and a major cause of disability around the world, and the development of atherosclerotic plaques in the carotid arteries is generally considered the leading cause of severe cerebrovascular events.
Matteo Fraschini, Massimo Castagnola, Luigi Barberini, Roberto Sanfilippo, Ferdinando Coghe, Luca Didaci, Riccardo Cau, Claudio Frongia, Mario Scartozzi, Luca Saba, Gavino Faa   +10 more
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Milker’s Nodule: Characteristic Clinical and Histopathological Images [PDF]

Indian Dermatology Online Journal
Neerja Saraswat, Durga M. Tripathy, Manoj M. Gopal, Debdeep D. Mitra   +3 more
doaj   +2 more sources

Classification and localization of gastric cancer using Multi-Information Fusion Network [PDF]

Revista Română de Informatică și Automatică, 2023
Diagnosing and differentiating gastric cancer cells from stomach ulcers requires high-domain expertise and is time-consuming. Furthermore, medical image processing requires extremely high segmentation accuracy, which may lack interpretability and ...
Varghese Sicily Felix ENIGO, Rajashree SHANMUGANATHAN, Sneha VENKATAPATHY, Sahir RAHAMAN   +3 more
doaj   +1 more source

A Robust Deep Learning-Based Approach for Detection of Breast Cancer from Histopathological Images

Engineering Proceedings, 2023
Breast cancer is a frequently encountered and potentially lethal illness that can affect not only women but also men. It is the most common disease affecting women globally, and is the main cause of morbidity and death.
Raheel Zaman, Ibrar Ali Shah, Naeem Ullah, Gul Zaman Khan   +3 more
doaj   +1 more source

A Multi-Task Convolutional Neural Network for Lesion Region Segmentation and Classification of Non-Small Cell Lung Carcinoma

Diagnostics, 2022
Targeted therapy is an effective treatment for non-small cell lung cancer. Before treatment, pathologists need to confirm tumor morphology and type, which is time-consuming and highly repetitive. In this study, we propose a multi-task deep learning model
Zhao Wang, Yuxin Xu, Linbo Tian, Qingjin Chi, Fengrong Zhao, Rongqi Xu, Guilei Jin, Yansong Liu, Junhui Zhen, Sasa Zhang   +9 more
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Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques

Results in Engineering, 2023
Lung cancer is characterized by the uncontrollable growth of cells in the lung tissues. Early diagnosis of malignant cells in the lungs, which provide oxygen to the human body and excrete carbon dioxide because of important processes, is critical ...
Vani Rajasekar, M.P. Vaishnnave, S. Premkumar, Velliangiri Sarveshwaran, V. Rangaraaj   +4 more
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CHILDHOOD MEDULLOBLASTOMA DIAGNOSIS USING MULTISCALE FRAMEWORK

International Journal of Advances in Signal and Image Sciences, 2022
This paper proposes an efficient Shearlet Based Childhood MedulloBlastoma (SBCMB) detection system. It is a classification system that extracts prominent characteristics for childhood MedulloBlastoma diagnosis from a given collection of histopathological
Vishal Eswaran, Usha Eswaran
doaj   +1 more source

Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks

IEEE Access, 2021
Although CNNs are widely considered as the state-of-the-art models in various applications of image analysis, one of the main challenges still open is the training of a CNN on high resolution images.
Nadia Brancati, Giuseppe De Pietro, Daniel Riccio, Maria Frucci   +3 more
doaj   +1 more source

Fusing pre-trained convolutional neural networks features for multi-differentiated subtypes of liver cancer on histopathological images

BMC Medical Informatics and Decision Making, 2022
Liver cancer is a malignant tumor with high morbidity and mortality, which has a tremendous negative impact on human survival. However, it is a challenging task to recognize tens of thousands of histopathological images of liver cancer by naked eye ...
Xiaogang Dong, Min Li, Panyun Zhou, Xin Deng, Siyu Li, Xingyue Zhao, Yi Wu, Jiwei Qin, Wenjia Guo   +8 more
doaj   +1 more source