Results 281 to 290 of about 1,084,153 (342)

Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks. [PDF]

Discov Oncol
Khan MA, Mazhar T, Ali MD, Khattak UF, Shahzad T, Saeed MM, Hamam H.   +6 more
europepmc   +1 more source

Single-image dehazing method based on Rayleigh Scattering and adaptive color compensation. [PDF]

PLoS One
Guo X, Sun Q, Zhao J, Sun M, Qiao Y, Zhang Y, Zhou Y.   +6 more
europepmc   +1 more source

Improved food image recognition by leveraging deep learning and data-driven methods with an application to Central Asian Food Scene. [PDF]

Sci Rep
Karabay A, Varol HA, Chan MY.
europepmc   +1 more source

Skeletal muscle analysis with the aid of a computer-assisted image analysing process.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde, 1982
M P, du Plessis, H N, Louw, H J, Geyer
openaire   +1 more source

A novel dual-branch segmentation algorithm for overall spine segmentation. [PDF]

Quant Imaging Med Surg
Gao T, Zhang H, Ying Y, Li A, Lu H, Zhao Y, Zhang L, Song G.   +7 more
europepmc   +1 more source

High-Performance, Low-Cost Optical Coherence Tomography System Using a Jetson Orin Nano for Real-Time Control and Image Processing. [PDF]

Transl Vis Sci Technol
Wang W, Miller DA, Price HB, Yang X, Brown WJ, Wax A.   +5 more
europepmc   +1 more source

An intercomparison of computer assisted image processing and display methods in liver scintigraphy

Physics in Medicine & Biology, 1979
A previous study (ibid., vol.24, p.547 (1979)) has assessed processing and display methods used in scintigraphy by superimposing 'mathematical tumours' onto clinically normal brain scintigrams. In this paper the technique is applied to liver scintigraphy and a selection of techniques assessed.
A. S. Houston, M. A. Macleod
semanticscholar   +5 more sources

Computer-assisted image processing technique for tracking wound progress

2016 IEEE International Conference on Electro Information Technology (EIT), 2016
The purpose of this study was to develop an algorithm to support the decisions of expert physicians in the management of wound healing. The goal was to work towards the development of an image processing algorithm for quantifying the progress of healing of skin wounds. For this algorithm development, multiple wound images were obtained from patients in
Ali Haider, Minhal Alhashim, Kouhyar Tavakolian, Reza Fazel-Rezai   +3 more
semanticscholar   +4 more sources

Application of computer-assisted image processing to autoradiographic methods for studying brain functions

Trends in Neurosciences, 1983
Abstract The application of computers to recently developed autoradiographic methods for studying a variety of brain processes has greatly facilitated and expanded the use of these methods. Computer-assisted image-processing systems make feasible the extraction of information from autoradiographs which is not readily accessible by manual means and the
Charles F. Goochee, Wayne Rasband, Louis Sokoloff   +2 more
semanticscholar   +4 more sources