Janos Toth

TL;DR: The set-up and results of this challenge that is primarily based on Indian Diabetic Retinopathy Image Dataset (IDRiD), which received a positive response from the scientific community, have the potential to enable new developments in retinal image analysis and image-based DR screening in particular.

TL;DR: A review on automatic image processing tools to recognize diseases causing specific distortions in the human retina, and several state-of-the-art procedures to extract the anatomic components and lesions in color fundus photographs and decision support methods to help clinical diagnosis.

TL;DR: This paper combines deep convolutional neural network (DCNN) based techniques into a supernetwork with a fusionbased approach, and demonstrates how this architecture can be trained to accurately localize MAs with training only the local neighborhoods of the lesions; empirical tests showing solid performance are also enclosed.

TL;DR: This is the first study to examine prognostic prediction in PAAD from the standpoint of Cuproptosis, and it was determined that the predictive chemotherapeutic efficacy of 32 regularly used anticancer drugs differed between high- and low-CRGI groups.

TL;DR: The experimental results indicate that the proposed sampling-based evaluation method substantially reduced the computational time required for optimizing the parameters of the ensembles while preserving solution quality.