Alzheimer's diseases detection by using deep learning algorithms: a mini-review
S Al-Shoukry, TH Rassem, NM Makbol - IEEE Access, 2020 - ieeexplore.ieee.org
The accurate diagnosis of Alzheimer's disease (AD) plays an important role in patient
treatment, especially at the disease's early stages, because risk awareness allows the …
treatment, especially at the disease's early stages, because risk awareness allows the …
[HTML][HTML] Deep learning techniques for the effective prediction of Alzheimer's disease: a comprehensive review
KA Shastry, V Vijayakumar, MKM V, M BA, C BN - Healthcare, 2022 - mdpi.com
“Alzheimer's disease”(AD) is a neurodegenerative disorder in which the memory shrinks and
neurons die.“Dementia” is described as a gradual decline in mental, psychological, and …
neurons die.“Dementia” is described as a gradual decline in mental, psychological, and …
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳ s general PseAAC
Protein subcellular localization is defined as predicting the functioning location of a given
protein in the cell. It is considered an important step towards protein function prediction and …
protein in the cell. It is considered an important step towards protein function prediction and …
Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain …
H Zhou, Y Yang, HB Shen - Bioinformatics, 2017 - academic.oup.com
Motivation Protein subcellular localization prediction has been an important research topic
in computational biology over the last decade. Various automatic methods have been …
in computational biology over the last decade. Various automatic methods have been …
SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images
Y Tu, H Lei, HB Shen, Y Yang - Briefings in Bioinformatics, 2022 - academic.oup.com
With the rapid growth of high-resolution microscopy imaging data, revealing the subcellular
map of human proteins has become a central task in the spatial proteome. The cell atlas of …
map of human proteins has become a central task in the spatial proteome. The cell atlas of …
Label-free assessment of the drug resistance of epithelial ovarian cancer cells in a microfluidic holographic flow cytometer boosted through machine learning
About 75% of epithelial ovarian cancer (EOC) patients suffer from relapsing and develop
drug resistance after primary chemotherapy. The commonly used clinical examinations and …
drug resistance after primary chemotherapy. The commonly used clinical examinations and …
Low dimensional representation of fisher vectors for microscopy image classification
Microscopy image classification is important in various biomedical applications, such as
cancer subtype identification, and protein localization for high content screening. To achieve …
cancer subtype identification, and protein localization for high content screening. To achieve …
Bioimage classification with handcrafted and learned features
Bioimage classification is increasingly becoming more important in many biological studies
including those that require accurate cell phenotype recognition, subcellular localization …
including those that require accurate cell phenotype recognition, subcellular localization …
Multi-modal classifier fusion with feature cooperation for glaucoma diagnosis
Glaucoma is a major public health problem that can lead to an optic nerve lesion, requiring
systematic screening in the population over 45 years of age. The diagnosis and …
systematic screening in the population over 45 years of age. The diagnosis and …
General purpose (GenP) bioimage ensemble of handcrafted and learned features with data augmentation
Bioimage classification plays a crucial role in many biological problems. In this work, we
present a new General Purpose (GenP) ensemble that boosts performance by combining …
present a new General Purpose (GenP) ensemble that boosts performance by combining …