Results 141 to 150 of about 5,255 (193)

Image-Based Recognition of Children's Handwritten Arabic Characters Using a Confidence-Weighted Stacking Ensemble. [PDF]

Sensors (Basel)
AlShehri H.
europepmc   +1 more source

A two-stage deep learning framework for kidney disease detection using modified specular-free imaging and EfficientNetB2. [PDF]

Sci Rep
El-Hag NA, El-Shafai W, El-Hameed HAA, Soliman NF, Algarni AD, El-Samie FEA.   +5 more
europepmc   +1 more source

Artificial Intelligence in the Diagnosis of Cholesteatoma: A Systematic Review of Current Evidence. [PDF]

Cureus
Shabi SM, Almutairi LB, Moafa AN, Omer RA, Alghamdi AM, Alhemaidi HS, Alhamyani HH, Abualiat AA, Alamdi AA, Alkhaibari MS, Al Khairat LH.   +10 more
europepmc   +1 more source

AI-assisted rapid on-site evaluation ROSE of EUS-FNA cytopathology for pancreatic solid lesions: A two-stage deep learning approach. [PDF]

Endosc Ultrasound
Tian Y, Zhang J, Rao X, Zhou B, Zhao X, He Y, Sheng H, Nian W, Cai Y, Rong L.   +9 more
europepmc   +1 more source

Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare. [PDF]

Sci Rep
Lamba K, Rani S, Shabaz M.
europepmc   +1 more source

Prediction of intraductal cancer microinfiltration based on the hierarchical fusion of peri-tumor imaging histology and dual view deep learning. [PDF]

BMC Cancer
Yao G, Huang Y, Shang X, Guo L, Feng J, Lai Z, Huang W, Lu J, Chen L, Zheng M.   +9 more
europepmc   +1 more source

Breast cancer image classification using DenseNet201 and AlexNet based deep transfer learning

Nasser Edinne Benhassine, Abdelnour Boukaache, Djalil Boudjehem   +2 more
openaire   +1 more source

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Utilization of DenseNet201 for diagnosis of breast abnormality

Machine Vision and Applications, 2019
As one of the leading killers of females, breast cancer has become one of the heated research topics in the community of clinical medical science and computer science. In the clinic, mammography is a publicly accepted technique to detect early abnormalities such as masses and distortions in breast leading to cancer. Interpreting the images, however, is
Xiang Yu, Nianyin Zeng, Shuai Liu
exaly   +3 more sources

Waste Classification Using Random Forest Classifier with DenseNet201 Deep Features

Lecture Notes on Data Engineering and Communications Technologies, 2023
Kemal Akyol, Abdulkadir Karacı
exaly   +2 more sources