Results 21 to 30 of about 9,856,837 (311)

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

Nature Communications, 2020
The early detection and accurate histopathological diagnosis of gastric cancer are essential factors that can help increase the chances of successful treatment.
Zhigang Song, Shuangmei Zou, Weixun Zhou, Yong Huang, Liwei Shao, Jing Yuan, Xiangnan Gou, Wei Jin, Zhanbo Wang, Xin Chen, Xiaohui Ding, Jinhong Liu, Chunkai Yu, Calvin Ku, Cancheng Liu, Zhuo Sun, Gang Xu, Yuefeng Wang, Xiaoqing Zhang, Dandan Wang, Shuhao Wang, Wei Xu, Richard C. Davis, Huaiyin Shi   +23 more
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Medical imaging [PDF]

Postgraduate Medical Journal, 1991
Summary and conclusionsThere is now a wide choice of medical imaging to show both focal and diffuse pathologies in various organs. Conventional radiology with plain films, fluoroscopy and contrast medium have many advantages, being readily available with low-cost apparatus and a familiarity that almost leads to contempt. The use of plain films in chest
openaire   +2 more sources

Bag of Tricks for Improving Deep Learning Performance on Multimodal Image Classification

Bioengineering, 2022
A comprehensive medical image-based diagnosis is usually performed across various image modalities before passing a final decision; hence, designing a deep learning model that can use any medical image modality to diagnose a particular disease is of ...
Steve A. Adeshina, Adeyinka P. Adedigba
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Stereotactic Body Radiation Therapy With Simultaneous Integrated Boost in Patients With Spinal Metastases

Technology in Cancer Research & Treatment, 2020
Stereotactic body radiation therapy in patients with spine metastases maximizes local tumor control and preserves neurologic function. A novel approach could be the use of stereotactic body radiation therapy with simultaneous integrated boost delivering ...
Antonio Pontoriero MD, Giuseppe Iatì MD, Alberto Cacciola MD, Alfredo Conti MD, PhD, Anna Brogna PhD, Carmelo Siragusa PhD, Gianluca Ferini MD, Valerio Davì MD, Consuelo Tamburella MD, Laura Molino MD, Domenico Cambareri MD, Cesare Severo MD, Silvana Parisi MD, Nicola Settineri PhD, Isidora Ielo PhD, Stefano Pergolizzi MD   +15 more
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Rasmussen aneurysm: A rare but not gone complication of tuberculosis

International Journal of Infectious Diseases, 2018
This report describes the case of a 30-year-old homeless man from Pereira, Colombia with tuberculosis, who presented with massive hemoptysis and associated aneurysm of the left upper lobe (Rasmussen aneurysm).
Ángela María Giraldo-Montoya, Alfonso J. Rodríguez-Morales, Juan David Hernández-Hurtado, Álvaro López-Salazar, Guillermo J. Lagos-Grisales, Víctor H. Ruiz-Granada   +5 more
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Potential Impact and Challenges of Implementing Artificial Intelligence in the Romanian Healthcare System

Проблеми на постмодерността, 2023
This literature review assesses the prospective implications and advantages of incorporating artificial intelligence (AI) within the healthcare infrastructure of Romania.
Sebastian Fitzek, Кyung-Eun (Anna) Choi   +1 more
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Computer Vision in Medical Imaging and its Impact on the Rare Musculoskeletal Diseases

罕见病研究, 2023
There are over 6000 rare diseases in the world, affecting more than 300 million people. Early and precise diagnosis of rare diseases has always been the goal in clinical medicine.
ZHANG Xueyi, SUN Bo, CHEN Guilin, HU Ge, LI Qing, QIU Guixing   +5 more
doaj   +1 more source

A Novel Hybrid Reversible-Zero Watermarking Scheme to Protect Medical Image

IEEE Access, 2022
The verification of copyright and authenticity for medical images is critical in telemedical applications. Watermarking is a key technique for protecting medical images and can be mainly divided into three categories: region of interest (ROI) lossless ...
Zhen Dai, Chunyan Lian, Zhuohao He, Huailong Jiang, Yifan Wang   +4 more
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An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges

Journal of Intelligent Systems, 2022
Deep learning techniques, which use a massive technology known as convolutional neural networks, have shown excellent results in a variety of areas, including image processing and interpretation. However, as the depth of these networks grows, so does the
Mukhlif Abdulrahman Abbas, Al-Khateeb Belal, Mohammed Mazin Abed   +2 more
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Update on the PI-RADS-ACR scoring system

Journal of the Mexican Federation of Radiology and Imaging
The incorporation of magnetic resonance imaging (MRI) in the assessment of prostate cancer (PCa) is a key example of how imaging can impact patient management.
Gabriel de Lion-Gouvea, Arthur Senna-Ogata, Thalyne A. Leite-de Lima, Valdair F. Muglia   +3 more
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