MobileNet based apple leaf diseases identification

C Bi, J Wang, Y Duan, B Fu, JR Kang, Y Shi - Mobile Networks and …, 2022 - Springer
Alternaria leaf blotch, and rust are two common types of apple leaf diseases that severely
affect apple yield. A timely and effective detection of apple leaf diseases is crucial for …

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 …

Multi-scale classification of single-cell gel electrophoresis assay using deep learning algorithm

A Erdamar, MF Aksahin - Biomedical Signal Processing and Control, 2020 - Elsevier
Structural and functional integrity of deoxyribonucleic acid (DNA) is crucial for the
maintenance of hereditary information. However, by-products of cellular metabolism and …

Image analysis for single cell gel electrophoresis

AK Meşe, A Erdamar, ÖD İşerı - 2017 25th Signal Processing …, 2017 - ieeexplore.ieee.org
Detection of dioxyribonucleic acid (DNA) damage is very crucial in various areas of life
sciences and in the clinical diagnosis of some pathophysiologies. Single cell gel …

An integrated approach for DNA-damage detection from comet-images of Drosophila melanogaster

MB Baskir, F Zemheri-Navruz - International Journal of Data …, 2020 - inderscienceonline.com
Image processing is a popular technique in data mining. Researchers can obtain various
results from an image related to experimental study using this technique. In this study, we …

건너뛰기 합성곱 블록을 추가한 합성곱 신경망을 이용한 의료 영상 조밀 예측

최민석 - 2018 - s-space.snu.ac.kr
최근 딥 러닝 모델의 고도화와 파라메터 초기화, 정규화 기법 등의 발전을 발 판 삼아 조밀 예측
분야 또한 높은 성능을 거두고 있고, 의료 영상 분야에서도 EM 영상의 경계선 검출 문제나 …

[PDF][PDF] Tek hücre jel elektroforezi için görüntü analizi

A Kakaç Meşe - 2017 - core.ac.uk
Genetik bilginin nesilden nesile sağlıklı olarak aktarılabilmesi için deoksiribonükleik asit
(DNA) yapısının korunması son derece önemlidir. Ancak, hücrenin normal metabolik …

Identification and Classification of Damage in DNA Imagery Using Deep Learning Algorithms

C Güngör, A Aktaş - Journal of New Results in Engineering and Natural … - dergipark.org.tr
In this study, the application of deep learning, particularly Convolutional Neural Networks
(CNNs), to analyze comet assay images for DNA damage assessment is explored. The …

[CITACE][C] A fully automated application for analysis and quantification of dna damage on comet assay images

E Şehirli - 2018 - Fen Bilimleri Enstitüsü