[HTML][HTML] CNN variants for computer vision: History, architecture, application, challenges and future scope
Computer vision is becoming an increasingly trendy word in the area of image processing.
With the emergence of computer vision applications, there is a significant demand to …
With the emergence of computer vision applications, there is a significant demand to …
[HTML][HTML] Deep learning for plant stress phenotyping: trends and future perspectives
Deep learning (DL), a subset of machine learning approaches, has emerged as a versatile
tool to assimilate large amounts of heterogeneous data and provide reliable predictions of …
tool to assimilate large amounts of heterogeneous data and provide reliable predictions of …
A survey of the recent architectures of deep convolutional neural networks
Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …
which has shown exemplary performance on several competitions related to Computer …
[HTML][HTML] Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning
J Yang, J Ju, L Guo, B Ji, S Shi, Z Yang, S Gao… - Computational and …, 2022 - Elsevier
HER2-positive breast cancer is a highly heterogeneous tumor, and about 30% of patients
still suffer from recurrence and metastasis after trastuzumab targeted therapy. Predicting …
still suffer from recurrence and metastasis after trastuzumab targeted therapy. Predicting …
[HTML][HTML] Identifying facemask-wearing condition using image super-resolution with classification network to prevent COVID-19
The rapid worldwide spread of Coronavirus Disease 2019 (COVID-19) has resulted in a
global pandemic. Correct facemask wearing is valuable for infectious disease control, but …
global pandemic. Correct facemask wearing is valuable for infectious disease control, but …
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …
JL Gayathri, B Abraham, MS Sujarani… - Computers in biology and …, 2022 - Elsevier
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
In recent years, intelligent fault diagnosis algorithms using machine learning technique have
achieved much success. However, due to the fact that in real world industrial applications …
achieved much success. However, due to the fact that in real world industrial applications …
Attention mechanism-based CNN for facial expression recognition
Facial expression recognition is a hot research topic and can be applied in many computer
vision fields, such as human–computer interaction, affective computing and so on. In this …
vision fields, such as human–computer interaction, affective computing and so on. In this …
Deep learning and its applications in biomedicine
C Cao, F Liu, H Tan, D Song, W Shu… - Genomics …, 2018 - academic.oup.com
Advances in biological and medical technologies have been providing us explosive
volumes of biological and physiological data, such as medical images …
volumes of biological and physiological data, such as medical images …
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms
MA Al-Antari, SM Han, TS Kim - Computer methods and programs in …, 2020 - Elsevier
Abstract Background and Objective Deep learning detection and classification from medical
imagery are key components for computer-aided diagnosis (CAD) systems to efficiently …
imagery are key components for computer-aided diagnosis (CAD) systems to efficiently …