Results 111 to 120 of about 5,255 (193)

Transfer learning with Bayesian optimization for colorectal cancer histopathology classification. [PDF]

BMC Med Imaging
ALGhafri HS, Lim CS.
europepmc   +1 more source

EnsembleSkinNet: a transfer learning-based framework for efficient skin cancer detection with explainable AI integration. [PDF]

Front Oncol
Cherukuri S, Vara Prasad SD.
europepmc   +1 more source

Transfer Learning Strategies for Cardiovascular Disease Detection in ECG Imagery. [PDF]

Biomed Eng Comput Biol
Soudagar A, Shetty SK, Harohalli Shivalingappa S, Mudligiriyappa N, Sinha A, Khalid S, Ansarullah SI.   +6 more
europepmc   +1 more source

Lightweight Vision Transformer with transfer learning for interpretable Alzheimer's disease severity assessment. [PDF]

Sci Rep
Sharma R, Acharya V.
europepmc   +1 more source

Interpretable hybrid ensemble with attention-based fusion and EAOO-GA optimization for lung cancer detection. [PDF]

Sci Rep
Al Duhayyim M, Aldawsari MA, Ismail A, Emam MM.   +3 more
europepmc   +1 more source

¹⁸F-FDG PET-based ensemble deep learning model for the prediction of lymphovascular invasion in colorectal cancer patients. [PDF]

Abdom Radiol (NY)
Zhao H, Lyu Z, Su Y, Zhang H, Zhang Z, Xu P, Lv Z, Fu P.   +7 more
europepmc   +1 more source

Enhanced Diagnosis of Lung and Colon Cancer Severity Through Deep Feature Analysis Using DenseNet201 and SVM With Histopathological Images: A Super-Resolution Approach. [PDF]

Cancer Rep (Hoboken)
Patharia P, Rao BSP, Sethy PK, Ratha AK, Nanthaamornphong A.   +4 more
europepmc   +1 more source

Ultrasound-based DenseNet201 outperforms breast imaging reporting and data system and ResNet50 in predicting HER2 status in invasive breast cancer. [PDF]

Am J Transl Res
Wu L, Zhou X, Ye X, Chen F, Liang T, Liu K.   +5 more
europepmc   +1 more source

Performance evaluation of deep learning models for overbite classification on cephalometric radiographs. [PDF]

Eur Oral Res
Kartbak SBA, Özel MB, Çakmak M.
europepmc   +1 more source

Deep learning radiomics models based on contrast-enhanced transrectal ultrasound for predicting distant metastasis in rectal cancer. [PDF]

Front Oncol
Xia Z, Liu L, Chen H, Mo Y, Shen Y, Xie X, Qiu M, Liao C, Cui H, Zhang S.   +9 more
europepmc   +1 more source