Author(s): Shamshiri MA; Krzyzak A; Kowal M; Korbicz J;
Microscopic analysis of breast cancer images is the primary task in diagnosing cancer malignancy. Recent attempts to automate this task have employed deep learning models whose success has depended on large volumes of data, while acquiring annotated data in ...
Article GUID: 36758326
Author(s): Aktar M; Reyes J; Tampieri D; Rivaz H; Xiao Y; Kersten-Oertel M;
Purpose: Collateral evaluation is typically done using visual inspection of cerebral images and thus suffers from intra- and inter-rater variability. Large open databases of ischemic stroke patients are rare, limiting the use of deep learni ...
Article GUID: 36635594
Author(s): Rjoub G; Wahab OA; Bentahar J; Cohen R; Bataineh AS;
In the context of distributed machine learning, the concept of federated learning (FL) has emerged as a solution to the privacy concerns that users have about sharing their own data with a third-party server. FL allows a group of users (often referred to as ...
Article GUID: 35875592
Author(s): Al-Qudah R; Khamayseh Y; Aldwairi M; Khan S;
The need for a smart city is more pressing today due to the recent pandemic, lockouts, climate changes, population growth, and limitations on availability/access to natural resources. However, these challenges can be better faced with the utilization of new ...
Article GUID: 35746171
Author(s): Rahman A, Zunair H, Reme TR, Rahman MS, Mahdy MRC
Malaria, one of the leading causes of death in underdeveloped countries, is primarily diagnosed using microscopy. Computer-aided diagnosis of malaria is a challenging task owing to the fine-grained variability in the appearance of some uninfected and infect ...
Article GUID: 33465520
- Page 1 / 1 -
