Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Accurate remaining useful life (RUL) prediction for rolling bearings encounters many
challenges such as complex degradation processes, varying working conditions, and …
challenges such as complex degradation processes, varying working conditions, and …
Image-based profiling for drug discovery: due for a machine-learning upgrade?
SN Chandrasekaran, H Ceulemans, JD Boyd… - Nature Reviews Drug …, 2021 - nature.com
Image-based profiling is a maturing strategy by which the rich information present in
biological images is reduced to a multidimensional profile, a collection of extracted image …
biological images is reduced to a multidimensional profile, a collection of extracted image …
A scoping review of transfer learning research on medical image analysis using ImageNet
Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-
trained on non-medical ImageNet dataset, has shown promising results for medical image …
trained on non-medical ImageNet dataset, has shown promising results for medical image …
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
Breast cancer is among the leading cause of mortality among women in developing as well
as under-developing countries. The detection and classification of breast cancer in the early …
as under-developing countries. The detection and classification of breast cancer in the early …
Deep learning in image-based phenotypic drug discovery
Modern drug discovery approaches often use high-content imaging to systematically study
the effect on cells of large libraries of chemical compounds. By automatically screening …
the effect on cells of large libraries of chemical compounds. By automatically screening …
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Advances in artificial intelligence technologies have made it possible to obtain more
accurate and reliable results using digital images. Due to the advances in digital …
accurate and reliable results using digital images. Due to the advances in digital …
Efficient classification of white blood cell leukemia with improved swarm optimization of deep features
Abstract White Blood Cell (WBC) Leukaemia is caused by excessive production of
leukocytes in the bone marrow, and image-based detection of malignant WBCs is important …
leukocytes in the bone marrow, and image-based detection of malignant WBCs is important …
[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Y Himeur, S Al-Maadeed, H Kheddar… - … Applications of Artificial …, 2023 - Elsevier
Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …
ensure the security and safety of the population, especially during events involving large …
Transfer learning in breast cancer diagnoses via ultrasound imaging
Simple Summary Transfer learning plays a major role in medical image analyses; however,
obtaining adequate training image datasets for machine learning algorithms can be …
obtaining adequate training image datasets for machine learning algorithms can be …
Learning representations for image-based profiling of perturbations
Measuring the phenotypic effect of treatments on cells through imaging assays is an efficient
and powerful way of studying cell biology, and requires computational methods for …
and powerful way of studying cell biology, and requires computational methods for …