Results 1 to 10 of about 9,883,756 (332)

Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method. [PDF]

Thorac Cancer, 2020
The aim of the study was to develop a deep learning (DL) algorithm to evaluate the pathological complete response (pCR) to neoadjuvant chemotherapy in breast cancer.
Qu YH, Zhu HT, Cao K, Li XT, Ye M, Sun YS.   +5 more
europepmc   +2 more sources

A Survey on SAR Ship Classification Using Deep Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep learning (DL) has become a central approach for ship classification using synthetic aperture radar (SAR) imagery. This survey reviews 74 representative studies selected from 187 publications, categorizing them into a taxonomy with four main ...
Ch Muhammad Awais, Marco Reggiannini, Davide Moroni, Emanuele Salerno   +3 more
doaj   +1 more source

DL-GPRd: Deep Learning for Ground Penetrating Radar Deconvolution

Journal of Physics: Conference Series
Abstract Ground-penetrating radar (GPR) is a vital tool for subsurface investigation, but traditional deconvolution methods have limitations. This study explores the integration of Deep Learning (DL) techniques to enhance GPR data processing.
G. Roncoroni, E. Forte, M. Pipan
openaire   +1 more source

A Review on Medical Image Analysis Using Deep Learning

Engineering Proceedings
The objective of the medical image analysis is to increase the effectiveness of the diagnosis options. The Coevolution Neural Network (CNN) is the predominant neural network architecture used in Deep Learning (DL) for medical image analysis.
Raju Egala, M. V. S. Sairam
doaj   +1 more source

ICCES 2018 Session DL: Deep Learning [PDF]

2018 13th International Conference on Computer Engineering and Systems (ICCES), 2018
openaire   +1 more source

Prediction of cervical cancer lymph node metastasis based on multisequence magnetic resonance imaging radiomics and deep learning features: a dual-center study

Scientific Reports
Cervical cancer is a leading cause of death from malignant tumors in women, and accurate evaluation of occult lymph node metastasis (OLNM) is crucial for optimal treatment.
Shigang Luo, Yan Guo, Yongqing Ye, Qinglin Mu, Wenguang Huang, Guangcai Tang   +5 more
doaj   +1 more source

Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importance. [PDF]

Sci Rep
Cannet A, Chane CS, Histace A, Akhoundi M, Romain O, Jacob P, Sereno D, Souchaud M, Bousses P, Sereno D.   +9 more
europepmc   +1 more source

Deep learning (DL)-based advancements in prostate cancer imaging: Artificial intelligence (AI)-based segmentation of ⁶⁸Ga-PSMSA PET for tumor volume assessment. [PDF]

Precis Radiat Oncol
Usmani S, Al Riyami K, Kheruka S, Numani SP, Al Sukaiti R, Ahmed M, Pervez N.   +6 more
europepmc   +1 more source

Cost-utility analysis of deep learning-based opportunistic osteoporosis screening using chest radiographs: implications of diagnostic thresholds and confirmatory testing. [PDF]

Arch Osteoporos
Shi BX, Tsai DJ, Lin C, Lin SH, Hsieh PH, Fang WH.   +5 more
europepmc   +1 more source

Machine learning and deep learning for diagnosis of endometriosis: systematic review and meta-analysis. [PDF]

Front Med (Lausanne)
Guo J, Liu X, Zhang H, Wei S.
europepmc   +1 more source