Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate …
Purpose The purpose of the study was to provide a comprehensive review of recent
machine learning (ML) and deep learning (DL) applications in urological practice …
machine learning (ML) and deep learning (DL) applications in urological practice …
[HTML][HTML] Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview
J Gao, Q Jiang, B Zhou, D Chen - Mathematical Biosciences and …, 2019 - aimspress.com
Computer-aided detection or diagnosis (CAD) has been a promising area of research over
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …
Deep learning model for automated kidney stone detection using coronal CT images
Kidney stones are a common complaint worldwide, causing many people to admit to
emergency rooms with severe pain. Various imaging techniques are used for the diagnosis …
emergency rooms with severe pain. Various imaging techniques are used for the diagnosis …
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans
Purpose Early detection and size quantification of renal calculi are important for optimizing
treatment and preventing severe kidney stone disease. Prior work has shown that volumetric …
treatment and preventing severe kidney stone disease. Prior work has shown that volumetric …
[HTML][HTML] Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images
Kidney stone disease is a serious public health concern that is getting worse with changes
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
[HTML][HTML] Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine
In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …
Artificial intelligence in radiotherapy
Artificial intelligence (AI) has already been implemented widely in the medical field in the
recent years. This paper first reviews the background of AI and radiotherapy. Then it …
recent years. This paper first reviews the background of AI and radiotherapy. Then it …
Artificial intelligence and its impact on urological diseases and management: a comprehensive review of the literature
BMZ Hameed, AVL S. Dhavileswarapu… - Journal of Clinical …, 2021 - mdpi.com
Recent advances in artificial intelligence (AI) have certainly had a significant impact on the
healthcare industry. In urology, AI has been widely adopted to deal with numerous …
healthcare industry. In urology, AI has been widely adopted to deal with numerous …
Deep learning model-assisted detection of kidney stones on computed tomography
A Caglayan, MO Horsanali, K Kocadurdu… - International braz j …, 2022 - SciELO Brasil
Introduction: The aim of this study was to investigate the success of a deep learning model in
detecting kidney stones in different planes according to stone size on unenhanced …
detecting kidney stones in different planes according to stone size on unenhanced …
Classification of plant leaves using new compact convolutional neural network models
Precision crop safety relies on automated systems for detecting and classifying plants. This
work proposes the detection and classification of nine species of plants of the PlantVillage …
work proposes the detection and classification of nine species of plants of the PlantVillage …