AIMC Topic: Computers
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A comparative analysis of CNN-based deep learning architectures for early diagnosis of bone cancer using CT images.
Scientific reports
Jan 25, 2024
Bone cancer is a rare in which cells in the bone grow out of control, resulting in destroying the normal bone tissue. A benign type of bone cancer is harmless and does not spread to other body parts, whereas a malignant type can spread to other body ...
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
Scientific reports
Jan 23, 2024
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of polyps are highly operator-de...
Detection of fibrosing interstitial lung disease-suspected chest radiographs using a deep learning-based computer-aided detection system: a retrospective, observational study.
BMJ open
Jan 22, 2024
OBJECTIVES: To investigate the effectiveness of BMAX, a deep learning-based computer-aided detection system for detecting fibrosing interstitial lung disease (ILD) on chest radiographs among non-expert and expert physicians in the real-world clinical...
A gentle introduction to computer vision-based specimen classification in ecological datasets.
The Journal of animal ecology
Jan 17, 2024
Classifying specimens is a critical component of ecological research, biodiversity monitoring and conservation. However, manual classification can be prohibitively time-consuming and expensive, limiting how much data a project can afford to process. ...
Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures.
La Radiologia medica
Jan 12, 2024
BACKGROUND: This study aimed to develop and validate radiomics and deep learning (DL) signatures for predicting distal metastasis (DM) of non-small cell lung cancer (NSCLC) in low-dose computed tomography (LDCT).
A Practical Guide to Phage- and Robotics-assisted Near-continuous Evolution.
Journal of visualized experiments : JoVE
Jan 12, 2024
Robotics-accelerated Evolution techniques improve the reliability and speed of evolution using feedback control, improving the outcomes of protein and organism evolution experiments. In this article, we present a guide to setting up the hardware and ...
An integration of hybrid MCDA framework to the statistical analysis of computer-based health monitoring applications.
Frontiers in public health
Jan 8, 2024
The surge in computer-based health surveillance applications, leveraging technologies like big data analytics, artificial intelligence, and the Internet of Things, aims to provide personalized and streamlined medical services. These applications enco...
Memristor-Based Neuromorphic Chips.
Advanced materials (Deerfield Beach, Fla.)
Jan 2, 2024
In the era of information, characterized by an exponential growth in data volume and an escalating level of data abstraction, there has been a substantial focus on brain-like chips, which are known for their robust processing power and energy-efficie...
Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies.
Biomolecules
Dec 28, 2023
Radiomics is an emerging approach to support the diagnosis of pulmonary nodules detected via low-dose computed tomography lung cancer screening. Serum metabolome is a promising source of auxiliary biomarkers that could help enhance the precision of l...
Endometrial Pipelle Biopsy Computer-Aided Diagnosis: A Feasibility Study.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Dec 27, 2023
Endometrial biopsies are important in the diagnostic workup of women who present with abnormal uterine bleeding or hereditary risk of endometrial cancer. In general, approximately 10% of all endometrial biopsies demonstrate endometrial (pre)malignanc...
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