A trustworthy and explainable framework for benchmarking hybrid deep learning models based on chest X-ray analysis in CAD systems
Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD)
systems is challenging. There is a need to optimize trust and performance in model …
systems is challenging. There is a need to optimize trust and performance in model …
A fuzzy fine-tuned model for COVID-19 diagnosis
The COVID-19 disease pandemic spread rapidly worldwide and caused extensive human
death and financial losses. Therefore, finding accurate, accessible, and inexpensive …
death and financial losses. Therefore, finding accurate, accessible, and inexpensive …
Screening support system based on patient survey data—Case study on classification of initial, locally collected COVID-19 data
New diseases constantly endanger the lives of populations, and, nowadays, they can
spread easily and constitute a global threat. The COVID-19 pandemic has shown that the …
spread easily and constitute a global threat. The COVID-19 pandemic has shown that the …
Deep learning-based COVID-19 detection: State-of-the-art in research
MS Ahmed, AM Fakhrudeen - International Journal of Nonlinear …, 2023 - ijnaa.semnan.ac.ir
In the last two years, the coronavirus (COVID-19) pandemic put healthcare systems around
the world under tremendous pressure. Imaging techniques (like Chest X-rays) play an …
the world under tremendous pressure. Imaging techniques (like Chest X-rays) play an …
Chest x‐ray images: transfer learning model in COVID‐19 detection
S Mao, S Kulbayeva… - Journal of Evaluation in …, 2025 - Wiley Online Library
Abstract Rationale, Aims and Objectives This research aims to develop an effective
algorithm for diagnosing COVID‐19 in chest X‐rays using the transfer learning method and …
algorithm for diagnosing COVID‐19 in chest X‐rays using the transfer learning method and …
Robodoc: a conversational-AI based app for medical conversations
J Guerra Pires - medRxiv, 2024 - medrxiv.org
Artificial Intelligence (AI) evolved in trends. Currently, the trend is Conversational Artificial
Intelligence (CAI). Those models of AI are focused on text-related tasks, and their …
Intelligence (CAI). Those models of AI are focused on text-related tasks, and their …
POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT Scans: A Comparison of deep learning Models
The novel coronavirus disease (COVID-19) constitutes a public health emergency globally. It
is a deadly disease which has infected more than 230 million people worldwide. Therefore …
is a deadly disease which has infected more than 230 million people worldwide. Therefore …
Stokastik Komşuluk Gömülme ile Özellik Çıkarımı ve Derin Transfer Öğrenmesi kullanılarak göğüs röntgeni görüntülerinden etkili pnömoni tespiti
Özet Pnömoni, akciğerlerde ortaya çıkan bir enfeksiyondur. Bu enfeksiyon dünya çapında
ciddi sağlık sorunlarına sebep olmaktadır. Özellikle hastanın hasta hizmetlerini …
ciddi sağlık sorunlarına sebep olmaktadır. Özellikle hastanın hasta hizmetlerini …
Βιβλιογραφική ανασκόπηση της εφαρμογής μηχανικής μάθησης για την αντιμετώπιση του COVID-19
Μ Πουρνάρα - 2022 - hellanicus.lib.aegean.gr
To ξέσπασμα του COVID-19 έγινε τον Δεκέμβριο του 2019 και σε 3 μόλις μήνες εξελίχθηκε σε
πανδημία. Αυτή η ταχεία εξάπλωση του COVID-19 έχει επηρεάσει τις ζωές εκατομμυρίων …
πανδημία. Αυτή η ταχεία εξάπλωση του COVID-19 έχει επηρεάσει τις ζωές εκατομμυρίων …