Results 61 to 70 of about 13,515,348 (328)
Adversarial Inpainting of Medical Image Modalities
, 2018 Numerous factors could lead to partial deteriorations of medical images. For example, metallic implants will lead to localized perturbations in MRI scans.
Armanious, Karim +3 more
core +1 more source
The Egyptian Journal of Radiology and Nuclear MedicineBackground Macromastia, characterized by an increase in breast size, poses challenges such as elevated body burden and chest oppression, potentially leading to cardiac and pulmonary overload.
Xiaoshi Li +6 more
doaj +1 more source
Deep Learning for Medical Image-Based Cancer Diagnosis
Cancers, 2023 Simple Summary Deep learning has succeeded greatly in medical image-based cancer diagnosis. To help readers better understand the current research status and ideas, this article provides a detailed overview of the working mechanisms and use cases of ...
Xiaoyan Jiang +3 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
Deep Learning Applications in Medical Image Processing
Acta Infologica, 2021 Medical imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), mammography, ultrasound and x-ray have been used for the diagnosis and treatment of diseases for many years.
Ayşe Gül Eker, Nevcihan Duru
doaj +1 more source
Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds
International Journal of Network Dynamics and Intelligence, 2023 Survey/review study Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds Xiang Li 1, Minglei Li 1, Pengfei Yan 1, Guanyi Li 1, Yuchen Jiang 1, Hao Luo 1,*, and Shen Yin 2 1 Department of Control Science and Engineering ...
Xiang Li +6 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images
Diagnostics, 2023 Breast cancer is one of the most prevalent cancers among women worldwide, and early detection of the disease can be lifesaving. Detecting breast cancer early allows for treatment to begin faster, increasing the chances of a successful outcome.
Salman Zakareya +2 more
doaj +1 more source
Radon-Gabor Barcodes for Medical Image Retrieval
, 2016 In recent years, with the explosion of digital images on the Web, content-based retrieval has emerged as a significant research area. Shapes, textures, edges and segments may play a key role in describing the content of an image.
Banijamali, Ershad +3 more
core +1 more source
Challenges of Deep Learning in Medical Image Analysis—Improving Explainability and Trust
IEEE Transactions on Technology and Society, 2023 Deep learning has revolutionized the detection of diseases and is helping the healthcare sector break barriers in terms of accuracy and robustness to achieve efficient and robust computer-aided diagnostic systems.
Tribikram Dhar +3 more
semanticscholar +1 more source