Detalhe da pesquisa
1.
ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.
Ultrason Imaging
; 46(1): 17-28, 2024 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-37981781
2.
Automatic Detection of Thyroid Nodule Characteristics From 2D Ultrasound Images.
Ultrason Imaging
; 46(1): 41-55, 2024 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-37865842
3.
Machine Learning Assisted Doppler Features for Enhancing Thyroid Cancer Diagnosis: A Multi-Cohort Study.
J Ultrasound Med
; 41(8): 1961-1974, 2022 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-34751458
4.
Explainable DCNN Decision Framework for Breast Lesion Classification from Ultrasound Images Based on Cancer Characteristics.
Bioengineering (Basel)
; 11(5)2024 May 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-38790320
5.
Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.
Med Biol Eng Comput
; 62(1): 135-149, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-37735296
6.
A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.
Ultrasonics
; 110: 106300, 2021 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-33232887
7.
Correction to: Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.
Med Biol Eng Comput
; 62(1): 151-152, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-37840061