Customized VGG19 architecture for pneumonia detection in chest X-rays
Pneumonia is one of the major illnesses in children and aged humans due to the Infection in
the lungs. Early analysis of pneumonia is necessary to prepare for a possible treatment …
the lungs. Early analysis of pneumonia is necessary to prepare for a possible treatment …
Ensemble of convolutional neural networks for bioimage classification
This work presents a system based on an ensemble of Convolutional Neural Networks
(CNNs) and descriptors for bioimage classification that has been validated on different …
(CNNs) and descriptors for bioimage classification that has been validated on different …
Two ensemble-CNN approaches for colorectal cancer tissue type classification
E Paladini, E Vantaggiato, F Bougourzi, C Distante… - Journal of …, 2021 - mdpi.com
In recent years, automatic tissue phenotyping has attracted increasing interest in the Digital
Pathology (DP) field. For Colorectal Cancer (CRC), tissue phenotyping can diagnose the …
Pathology (DP) field. For Colorectal Cancer (CRC), tissue phenotyping can diagnose the …
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two …
Protein subcellular localization plays a crucial role in characterizing the function of proteins
and understanding various cellular processes. Therefore, accurate identification of protein …
and understanding various cellular processes. Therefore, accurate identification of protein …
A stacking ensemble classifier with handcrafted and convolutional features for wafer map pattern classification
Recently, machine learning has been effectively applied in the automation of wafer map
pattern classification in semiconductor manufacturing. One conventional approach is to …
pattern classification in semiconductor manufacturing. One conventional approach is to …
Stochastic selection of activation layers for convolutional neural networks
In recent years, the field of deep learning has achieved considerable success in pattern
recognition, image segmentation, and many other classification fields. There are many …
recognition, image segmentation, and many other classification fields. There are many …
[HTML][HTML] Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images
Autoimmune diseases are the third highest cause of mortality in the world, and the
identification of an anti-nuclear antibody via an immunofluorescence test for HEp-2 cells is a …
identification of an anti-nuclear antibody via an immunofluorescence test for HEp-2 cells is a …
Recent advances of pathomics in colorectal cancer diagnosis and prognosis
Y Wu, Y Li, X Xiong, X Liu, B Lin, B Xu - Frontiers in Oncology, 2023 - frontiersin.org
Colorectal cancer (CRC) is one of the most common malignancies, with the third highest
incidence and the second highest mortality in the world. To improve the therapeutic …
incidence and the second highest mortality in the world. To improve the therapeutic …
Classification of DNA damages on segmented comet assay images using convolutional neural network
Ü Atila, YY Baydilli, E Sehirli, MK Turan - Computer methods and programs …, 2020 - Elsevier
Abstract Background and Objective Identification and quantification of DNA damage is a
very significant subject in biomedical research area which still needs more robust and …
very significant subject in biomedical research area which still needs more robust and …
Automatic recognition of protein subcellular location patterns in single cells from immunofluorescence images based on deep learning
XL Zhu, LX Bao, MQ Xue, YY Xu - Briefings in Bioinformatics, 2023 - academic.oup.com
With the improvement of single-cell measurement techniques, there is a growing awareness
that individual differences exist among cells, and protein expression distribution can vary …
that individual differences exist among cells, and protein expression distribution can vary …