Results 111 to 120 of about 1,961,287 (207)

The Diagnosis and Prenatal Management of Non‐RHD Alloimmunizations

Prenatal Diagnosis, EarlyView.
ABSTRACT Red blood cell (RBC) alloimmunization remains a relevant cause of hemolytic disease of the fetus and newborn (HDFN). Although RhD immunization has significantly decreased since the implementation of systematic prophylaxis, it is still the main cause of alloimmunization in pregnancy.
Mar Bennasar, Antoni Borrell
wiley   +1 more source

Computer-Aided Multiview Tumor Detection for Automated Whole Breast Ultrasound

, 2017
Automated whole breast ultrasound (ABUS) has become a popular screening tool in recent years. To reduce the review time and misdetection from ABUS images by physicians, a computer-aided detection (CADe) system for ABUS images based on a multiview method ...
Lo, Chiao;Shen, Yi-Wei;Huang, Chiun-Sheng;Chang, Ruey-Feng, 黃俊升   +1 more
core   +1 more source

Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. [PDF]

, 2013
This paper presents AtheroEdgeLowRes (AELR), an extention of AtheroEdge™ from AtheroPoint™, and a solution to carotid ultrasound IMT measurement in low-resolution and overall low quality images.
Saba, Luca, Suri, Jasjit S, Ledda, Giuseppe, Ledda, G., Poornima Prabhakaran, Kinra, S., Suri, Js, K. V. Radha Krishna, Prabhakaran, P., U. Rajendra Acharya, Acharya, Ur, Luca Saba, Sanjay Kinra, Shah Ebrahim, Acharya, U Rajendra, Ebrahim, S., Radha Krishna, KV, Ebrahim, Shah, Krishna, Kv, Walia, Gagandeep Kaur, Walia, Gk, Gupta, V., Jasjit S. Suri, Nicolaides, A., Giuseppe Ledda, Gupta, Vipin, Meiburger, Kristen M, Saba, L., Nicolaides, Andrew, Meiburger, Kristen Mariko, Andrew Nicolaides, Filippo Molinari, Prabhakaran, Poornima, Kristen M. Meiburger, Molinari, Filippo, Vipin Gupta, Kinra, Sanjay, Gagandeep Kaur Walia, Ebrahim S, Ledda G, Kinra S, Krishna KV, Saba L, Nicolaides A, Acharya UR, Suri JS, Prabhakaran P, Gupta V, Walia GK   +48 more
core   +1 more source

DDRA-Net: Dual-Channel Deep Residual Attention UPerNet for Breast Lesions Segmentation in Ultrasound Images

IEEE Access
Automated segmentation of breast tumors in breast ultrasound images has been a challenging frontier issue. The morphological diversity, boundary ambiguity, and heterogeneity of malignant tumors in breast lesions constrain the improvement of segmentation ...
Jingbo Sun, Baoxi Yuan, Juan Tian, Ziqi Yuan, Yixuan Wu, Xuexue He, Chuanwei Yang, Zexiang Tao   +7 more
doaj   +1 more source

Multimodal artificial intelligence in medical biotechnology: Integrating genomics, imaging, and clinical data for precision therapeutics

Precision Medical Sciences, EarlyView.
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley   +1 more source

SAM-PR: Enhancing 3D Automated Breast Ultrasound Imaging Segmentation with Probabilistic Refinement of SAM

This work presents a framework for lesion segmentation on 3D Automated Breast Ultrasound. The method consists on the implementation of a state-of-the-art foundation model for 2D segmentation pipeline called Segment anything model (SAM), adapted for 3D ...
Montoya-Del-Angel, Ricardo, Vidal, Joel, Martí, Robert, Elbatel, Marawan   +3 more
core   +1 more source

Predictive model for determining the indications for automated 3D ultrasound for screening patients at low risk of developing breast tumors

Исследования и практика в медицине
Automatic ultrasound examination of the breast (3D ultrasound) has become an important tool in the diagnosis of breast cancer. It is believed that 3D ultrasound has high reproducibility, low dependence on the operator, less time spent on obtaining images,
A. E. Garanina, A. V. Kholin
doaj   +1 more source

Exploratory Analysis of Peri‐Prostatic Adipose Tissue Radiomics Features and Their Potential to Predict Prostate Cancer Diagnosis: Results From a UK Biobank Study

The Prostate, EarlyView.
ABSTRACT Introduction This paper reports the development and application of an artificial intelligence (AI)–led approach to large volume MRI data curation and image segmentation of periprostatic adipose tissue (PPAT) in prostate cancer (PCa)–free men from the UK Biobank. We report how PPAT was defined, radiomics features of PPAT extracted, and explored
Angela O'Neill, Ryan O'Keeffe, Sarah Winter, Jade Dorrian, Tom R. Gaunt, Vilmundur Guönason, Ruth C. Travis, Richard M. Martin, Emma H. Allott, Michelle Leech   +9 more
wiley   +1 more source

Evaluation of time-series registration methods in dynamic area telethermometry for breast cancer detection [PDF]

, 2013
Automated motion reduction in 3D dynamic infrared imaging is on demand in many applications. Few methods for registering time-series dynamic infrared frames have been proposed.
Molinari, Filippo, RIYAHI ALAM, MOHAMAD SADEGH, Riyahi-Alam, S., Knaflitz, Marco, Agostini, Valentina   +4 more
core  

Plant‐Derived Extracellular Vesicles: Biogenesis, Function, and Application in Cancer Immunotherapy

Phytotherapy Research, EarlyView.
This illustration shows the biogenesis pathways of edible and medicinal plant‐derived extracellular vesicles (PDEVs) and their therapeutic effects following uptake in the human body, highlighting their potential for application in cancer immunotherapy. ABSTRACT Plant‐derived extracellular vesicles (PDEVs) are nanoscale, lipid bilayer‐enclosed vesicles ...
Guosheng Li, Mengyu Li, Shujing Liu, Yuan Wei, Chen Wang   +4 more
wiley   +1 more source