Results 91 to 100 of about 693,698 (310)

Cross-Modality Medical Image Retrieval with Deep Features

, 2020
In medical imaging, modality refers to the technique and process used to create visual representations of a particular part of the body, organs, or tissues. Conventional modalities include X-ray, CT-scan, Magnetic Resonance Imaging (MRI), Ultrasound, and
Mbilinyi, Ashery, Ashery Mbilinyi, Heiko Schuldt, Schuldt, Heiko   +3 more
core   +1 more source

Fused Deep Features-Based Grape Varieties Identification Using Support Vector Machine

, 2021
Proper identification of different grape varieties by smart machinery is of great importance to modern agriculture production. In this paper, a fast and accurate identification method based on Canonical Correlation Analysis (CCA), which can fuse ...
Yun Peng, Jizhan Liu, Shenyi Zhao
core   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

The high-frequency representation of image and its deep features.

, 2018
The high-frequency representation of image and its deep features.
Zhizheng Liang (4994216), Lei Zhang (38117), Ekene Frank Ozioko (4994219), Guoxing Zhang (4994213)   +3 more
core   +1 more source

Multi-view deep features for robust facial kinship verification [PDF]

, 2020
Automatic kinship verification from facial images is an emerging research topic in machine learning community. In this paper, we proposed an effective facial features extraction model based on multi-view deep features. Thus, we used four pre-trained deep
Benakcha, A. (Abdelhamid), Abdelhamid Benakcha, Taleb-Ahmed, A. (Abdelmalik), Laiadi, O. (Oualid), Benakcha, Abdelhamid, Abdenour Hadid, Abdelmalik Ouamane, Oualid Laiadi, Taleb-Ahmed, Abdelmalik, Abdelmalik Taleb-Ahmed, Hadid, A. (Abdenour), Laiadi, Oualid, Hadid, Abdenour, Ouamane, A. (Abdelmalik), Ouamane, Abdelmalik   +14 more
core   +1 more source

A Spectrogram-Based Deep Feature Assisted Computer-Aided Diagnostic System for Parkinson’s Disease

IEEE Access, 2020
Parkinson's disease is a neural degenerative disease. It slowly progresses from mild to severe stage, resulting in the degeneration of dopamine cells of neurons. Due to the deficiency of dopamine cells in the brain, it leads to a motor (tremor, slowness,
Laiba Zahid, Muazzam Maqsood, Mehr Yahya Durrani, Maheen Bakhtyar, Junaid Baber, Habibullah Jamal, Irfan Mehmood, Oh-Young Song   +7 more
doaj   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Molecular subtypes classification of breast cancer in DCE-MRI using deep features

Breast cancer is a major cause of concern on a global scale due to its high incidence rate. It is one of the leading causes of death for women, if left untreated.
Hasan, A.M., Al-Waely, N.K.N., Jalab, H.A., Noor K.N. Al-Waely, Hadeel K. Aljobouri, Ali M. Hasan, Aljobouri, H.K., Ibrahim, R.W., Meziane, F., Rabha W. Ibrahim, Farid Meziane, Hamid A. Jalab   +11 more
core   +1 more source

Enhanced Multi-Class Breast Cancer Classification from Whole-Slide Histopathology Images Using a Proposed Deep Learning Model

Diagnostics
Background/Objectives: Breast cancer is among the most frequently diagnosed cancers and leading cause of mortality worldwide. The accurate classification of breast cancer from the histology photographs is very important for the diagnosis and effective ...
Adnan Rafiq, Arfan Jaffar, Ghazanfar Latif, Sohail Masood, Sherif E. Abdelhamid   +4 more
doaj   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source