You are currently on the new version of our website. Access the old version .

Diagnostics, Volume 13, Issue 19

2023 October-1 - 139 articles

Cover Story: AI-aided interpretations of medical images are promising areas. However, when images with different characteristics are extracted, depending on the manufacturer and imaging environment, a so-called domain shift problem occurs. Domain adaptation is used to address this problem. Domain adaptation is a tool that generates a newly converted image which is suitable for other domains. It has also shown promise in reducing the differences in appearance among the images collected from different devices. Domain adaptation is expected to improve the reading accuracy of AI for heterogeneous image distributions in medical image analyses. In this paper, we review the history and basic characteristics of domain shift and domain adaptation as well as their use in gastrointestinal endoscopy and the medical field. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (139)

  • Article
  • Open Access
14 Citations
3,451 Views
32 Pages

DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images

  • Prabhav Sanga,
  • Jaskaran Singh,
  • Arun Kumar Dubey,
  • Narendra N. Khanna,
  • John R. Laird,
  • Gavino Faa,
  • Inder M. Singh,
  • Georgios Tsoulfas,
  • Mannudeep K. Kalra and
  • Jasjit S. Suri
  • + 7 authors

9 October 2023

Skin lesion classification plays a crucial role in dermatology, aiding in the early detection, diagnosis, and management of life-threatening malignant lesions. However, standalone transfer learning (TL) models failed to deliver optimal performance. I...

  • Article
  • Open Access
13 Citations
2,088 Views
15 Pages

Clinical Significance of Adropin and Afamin in Evaluating Renal Function and Cardiovascular Health in the Presence of CKD-MBD Biomarkers in Chronic Kidney Disease

  • Rupinder Kaur,
  • Pawan Krishan,
  • Pratima Kumari,
  • Tanveer Singh,
  • Varinder Singh,
  • Ravinder Singh and
  • Sheikh F. Ahmad

9 October 2023

Aim: The study aims to test the hypothesis that concentrations of adropin and afamin differ between patients in various stages of chronic kidney disease when compared with healthy controls. The study also investigates the association of the biomarker...

  • Article
  • Open Access
3 Citations
2,895 Views
11 Pages

Predicting the Probability of the Incidence of Maxillary Sinus Fungus Ball in Patients Using Nomogram Models

  • Yu-Hsi Fan,
  • Kai-Yi Shih,
  • Pei-Wen Wu,
  • Yen-Lin Huang,
  • Ta-Jen Lee,
  • Chi-Che Huang,
  • Po-Hung Chang and
  • Chien-Chia Huang

9 October 2023

Maxillary sinus fungal ball (MSFB) is the most common type of non-invasive fungal rhinosinusitis. Since MSFB requires a unique treatment strategy and is associated with potentially severe complications, timely and precise diagnosis is crucial. Comput...

  • Article
  • Open Access
7 Citations
2,265 Views
14 Pages

Lung Microbiota in Idiopathic Pulmonary Fibrosis, Hypersensitivity Pneumonitis, and Unclassified Interstitial Lung Diseases: A Preliminary Pilot Study

  • Milena Adina Man,
  • Rodica Ana Ungur,
  • Nicoleta Stefania Motoc,
  • Laura Ancuta Pop,
  • Ioana Berindan-Neagoe and
  • Victoria Maria Ruta

9 October 2023

(1) Introduction: Although historically, the lung has been considered a sterile organ, recent studies through 16S rRNA gene sequencing have identified a substantial number of microorganisms. The human microbiome has been considered an “essentia...

  • Article
  • Open Access
18 Citations
3,738 Views
25 Pages

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification

  • Md. Abul Ala Walid,
  • Swarnali Mollick,
  • Pintu Chandra Shill,
  • Mrinal Kanti Baowaly,
  • Md. Rabiul Islam,
  • Md. Martuza Ahamad,
  • Manal A. Othman and
  • Md Abdus Samad

9 October 2023

The study utilizes osteosarcoma hematoxylin and the Eosin-stained image dataset, which is unevenly dispersed, and it raises concerns about the potential impact on the overall performance and reliability of any analyses or models derived from the data...

  • Article
  • Open Access
2 Citations
1,815 Views
10 Pages

9 October 2023

Background: Colonic endoscopic submucosal dissection (ESD) at “challenging sites” such as the cecum, ascending colon, and colonic flexures could be difficult even for expert endoscopists due to poor endoscope stability/maneuverability, st...

  • Article
  • Open Access
6 Citations
2,365 Views
9 Pages

Interpretation of Heart and Lungs Sounds Acquired via Remote, Digital Auscultation Reached Fair-to-Substantial Levels of Consensus among Specialist Physicians

  • Diana Magor,
  • Evgeny Berkov,
  • Dmitry Siomin,
  • Eli Karniel,
  • Nir Lasman,
  • Liat Radinsky Waldman,
  • Irina Gringauz,
  • Shai Stern,
  • Reut Lerner Kassif and
  • Gad Segal
  • + 2 authors

9 October 2023

Background. Technological advancement may bridge gaps between long-practiced medical competencies and modern technologies. Such a domain is the application of digital stethoscopes used for physical examination in telemedicine. This study aimed to val...

  • Article
  • Open Access
12 Citations
2,540 Views
14 Pages

Automatic Identification of Glomerular in Whole-Slide Images Using a Modified UNet Model

  • Gurjinder Kaur,
  • Meenu Garg,
  • Sheifali Gupta,
  • Sapna Juneja,
  • Junaid Rashid,
  • Deepali Gupta,
  • Asadullah Shah and
  • Asadullah Shaikh

9 October 2023

Glomeruli are interconnected capillaries in the renal cortex that are responsible for blood filtration. Damage to these glomeruli often signifies the presence of kidney disorders like glomerulonephritis and glomerulosclerosis, which can ultimately le...

  • Article
  • Open Access
12 Citations
4,193 Views
22 Pages

Unlocking Precision Medicine for Prognosis of Chronic Kidney Disease Using Machine Learning

  • Yogita Dubey,
  • Pranav Mange,
  • Yash Barapatre,
  • Bhargav Sable,
  • Prachi Palsodkar and
  • Roshan Umate

8 October 2023

Chronic kidney disease (CKD) is a significant global health challenge that requires timely detection and accurate prognosis for effective treatment and management. The application of machine learning (ML) algorithms for CKD detection and prediction h...

  • Article
  • Open Access
6 Citations
2,534 Views
15 Pages

Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes

  • Miguel Tejedor,
  • Sigurd Nordtveit Hjerde,
  • Jonas Nordhaug Myhre and
  • Fred Godtliebsen

7 October 2023

Patients with type 1 diabetes must continually decide how much insulin to inject before each meal to maintain blood glucose levels within a healthy range. Recent research has worked on a solution for this burden, showing the potential of reinforcemen...

of 14

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Diagnostics - ISSN 2075-4418