AIMC Topic: Humans

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Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment.

Medical image analysis
General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for early detection of cerebral palsy (CP) in infants. We demonstrate in this paper that end-to-end trainable neural networks for image sequence recognition can...

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.

Medical image analysis
Cancer region detection (CRD) and subtyping are two fundamental tasks in digital pathology image analysis. The development of data-driven models for CRD and subtyping on whole-slide imagesĀ (WSIs) would mitigate the burden of pathologists and improve ...

A review on deep-learning algorithms for fetal ultrasound-image analysis.

Medical image analysis
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US) fetal images. A number of survey papers in the field is today available, but most of them are focusing on a broader area of medical-image analysis or not covering ...

Segmentation of Vestibular Schwannomas on Postoperative Gadolinium-Enhanced T1-Weighted and Noncontrast T2-Weighted Magnetic Resonance Imaging Using Deep Learning.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
OBJECTIVE: Surveillance of postoperative vestibular schwannomas currently relies on manual segmentation and measurement of the tumor by content experts, which is both labor intensive and time consuming. We aimed to develop and validate deep learning ...

A Matched-Pair Analysis of Nuclear Morphologic Features Between Core Needle Biopsy and Surgical Specimen in Thyroid Tumors Using a Deep Learning Model.

Endocrine pathology
Core needle biopsy (CNB) is a method that can be used as an alternative to fine-needle aspiration for the sampling of thyroid nodules to provide a preoperative diagnosis. Nuclear atypia is of paramount importance in diagnosing thyroid tumors. We aime...

Robotic versus open simple prostatectomy for benign prostatic hyperplasia in large glands: single-centre study.

World journal of urology
PURPOSE: Robot-assisted simple prostatectomy (RASP) for benign prostatic hyperplasia (BPH) is a recently described surgical approach, but comparison with open simple prostatectomy (OSP) lack in the literature. We compared perioperative outcomes of OS...

LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images.

Computers in biology and medicine
According to the World Health Organization, an estimate of more than five million infections and 355,000 deaths have been recorded worldwide since the emergence of the coronavirus disease (COVID-19). Various researchers have developed interesting and...

Predicting Regioselectivity of AO, CYP, FMO, and UGT Metabolism Using Quantum Mechanical Simulations and Machine Learning.

Journal of medicinal chemistry
Unexpected metabolism in modification and conjugation phases can lead to the failure of many late-stage drug candidates or even withdrawal of approved drugs. Thus, it is critical to predict the sites of metabolism (SoM) for enzymes, which interact wi...

Feasibility and efficacy of TouchCare system using application for older adults living alone: a pilot pre-experimental study.

BMC geriatrics
BACKGROUND: With the number of older people living alone continuously rising, health-monitoring systems using information and communication technology (ICT) have been developed to manage their health issues. Life logging and human body communication ...