|
|
|
|
|
Alia Alshehri and Duaa AlSaeed
Medical diagnosis and computer-aided diagnosis systems.
|
|
|
|
|
|
|
|
|
|
|
Agorastos-Dimitrios Samaras, Maria Tsimara, Sofia Voidila, Nikolaos Papandrianos, Petros Zampakis, Serafeim Moustakidis, Elpiniki Papageorgiou and Christina Kalogeropoulou
A computer-aided diagnosis system for parathyroid disease classification can be a valuable tool for primary health care. Medical experts can utilize such tools to pinpoint unhealthy patients accurately and early, hence decongesting the National Healthcar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hellena Hempe, Alexander Bigalke and Mattias Paul Heinrich
Background: Degenerative spinal pathologies are highly prevalent among the elderly population. Timely diagnosis of osteoporotic fractures and other degenerative deformities enables proactive measures to mitigate the risk of severe back pain and disabilit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zahra Jafari and Ebrahim Karami
The prompt and accurate diagnosis of breast lesions, including the distinction between cancer, non-cancer, and suspicious cancer, plays a crucial role in the prognosis of breast cancer. In this paper, we introduce a novel method based on feature extracti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Martin Paralic, Kamil Zelenak, Patrik Kamencay and Robert Hudec
The paper introduces an approach for detecting brain aneurysms, a critical medical condition, by utilizing a combination of 3D convolutional neural networks (3DCNNs) and Convolutional Long Short-Term Memory (ConvLSTM). Brain aneurysms pose a significant ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Flavia Grignaffini, Maurizio Troiano, Francesco Barbuto, Patrizio Simeoni, Fabio Mangini, Gabriele D?Andrea, Lorenzo Piazzo, Carmen Cantisani, Noah Musolff, Costantino Ricciuti and Fabrizio Frezza
Skin cancer (SC) is one of the most common cancers in the world and is a leading cause of death in humans. Melanoma (M) is the most aggressive form of skin cancer and has an increasing incidence rate. Early and accurate diagnosis of M is critical to incr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Olga Guiban, Antonello Rubini, Gianfranco Vallone, Corrado Caiazzo, Marco Di Serafino, Federica Pediconi, Laura Ballesio, Federica Trenta, Corrado De Vito, Arenta Shkelqimi, Ludovica Costanzo, Daniele Fresilli, Veronica Rizzo, Vito Cantisani and Massimo Vergine
Background: Ultrasound plays a crucial role in early diagnosis of breast cancer. The aim of this research is to evaluate the diagnostic performance of BI-RADS classification in comparison with new semi-automatic software Resona R9, Mindray, ?SmartBreast?...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junkang Qin, Xiao Wang, Dechang Mi, Qinmu Wu, Zhiqin He and Yu Tang
The study of human torso medical image segmentation is significant for computer-aided diagnosis of human examination, disease tracking, and disease prevention and treatment. In this paper, two application tasks are designed for torso medical images: the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manar Ahmed Hamza, Hanan Abdullah Mengash, Saud S. Alotaibi, Siwar Ben Haj Hassine, Ayman Yafoz, Fahd Althukair, Mahmoud Othman and Radwa Marzouk
A brain tumor (BT) is an abnormal development of brain cells that causes damage to the nerves and blood vessels. An accurate and early diagnosis of BT is important to prevent future complications. Precise segmentation of the BT provides a basis for surgi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hanguang Xiao, Yuewei Li, Bin Jiang, Qingling Xia, Yujia Wei and Huanqi Li
Lung cancer is the highest-mortality cancer with the largest number of patients in the world. Early screening and diagnosis of lung cancer by CT imaging is of great significance to improve the cure rate of lung cancer. CT signs mean the information of co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bijen Khagi, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Goo-Rak Kwon and Hee-Deok Yang
This paper presents an efficient computer-aided diagnosis (CAD) approach for the automatic detection of Alzheimer?s disease in patients? T1 MRI scans using the voxel-based morphometry (VBM) analysis of the region of interest (ROI) in the brain. The idea ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez and Vasudevan Lakshminarayanan
This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances in computer-aided diagnosis/detection (CAD) systems, which make us...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales, Jesús Corral-Jaime, Saturnino Vicente-Diaz and Alejandro Linares-Barranco
This work could be used to aid radiologists in the screening process, contributing to the fight against COVID-19.
|
|
|
|
|
|
|
|
|
|
|
Diego Riquelme and Moulay A. Akhloufi
Detecting malignant lung nodules from computed tomography (CT) scans is a hard and time-consuming task for radiologists. To alleviate this burden, computer-aided diagnosis (CAD) systems have been proposed. In recent years, deep learning approaches have s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sheng Cai, Pei-Zhong Liu, Yan-Min Luo, Yong-Zhao Du and Jia-Neng Tang
Microcalcification is the most important landmark information for early breast cancer. At present, morphological artificial observation is the main method for clinical diagnosis of such diseases, but it is easy to cause misdiagnosis and missed diagnosis....
ver más
|
|
|
|
|
|
|
|
|
|
|
Chung-Ming Lo, Peng-Hsiang Hung and Kevin Li-Chun Hsieh
Ischemic stroke is one of the leading causes of disability and death. To achieve timely assessments, a computer-aided diagnosis (CAD) system was proposed to perform early recognition of hyperacute ischemic stroke based on non-contrast computed tomography...
ver más
|
|
|
|
|
|
|
|
|
|
|
Donato Impedovo, Giuseppe Pirlo and Gennaro Vessio
Machine learning techniques are tailored to build intelligent systems to support clinicians at the point of care. In particular, they can complement standard clinical evaluations for the assessment of early signs and manifestations of Parkinson?s disease...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alaa M. Adel El-Shazli, Sherin M. Youssef and Abdel Hamid Soliman
|
|
|
|
|
|
|
|
|
|
|
Ilaria Bartolini and Andrea Di Luzio
Narcolepsy with cataplexy is a severe lifelong disorder characterized, among others, by sudden loss of bilateral face muscle tone triggered by emotions (cataplexy). A recent approach for the diagnosis of the disease is based on a completely manual analys...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yi-Wei Chang, Yun-Ru Chen, Chien-Chuan Ko, Wei-Yang Lin and Keng-Pei Lin
The breast ultrasound is not only one of major devices for breast tissue imaging, but also one of important methods in breast tumor screening. It is non-radiative, non-invasive, harmless, simple, and low cost screening. The American College of Radiology ...
ver más
|
|
|
|
|
|