Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model
I Pacal - Expert Systems with Applications, 2024 - Elsevier
The timely identification of diseases in maize leaf offers several benefits such as increased
crop productivity, reduced reliance on harmful chemicals, and improved production of …
crop productivity, reduced reliance on harmful chemicals, and improved production of …
Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions
Artificial Intelligence (AI) is a branch of computer science that utilizes optimization,
probabilistic and statistical approaches to analyze and make predictions based on a vast …
probabilistic and statistical approaches to analyze and make predictions based on a vast …
Detection of colorectal polyps from colonoscopy using machine learning: A survey on modern techniques
Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …
medical sector, colorectal polyp detection and classification using deep learning techniques …
Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)
Colorectal cancer (CRC) is one of the most common cancer types with a high mortality rate.
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …
Deep learning-based approaches for robust classification of cervical cancer
Cervical cancer is the fourth most common cancer worldwide, and early diagnosis is crucial
for successful treatment, as with all types of cancer. The pap-smear test is considered the …
for successful treatment, as with all types of cancer. The pap-smear test is considered the …
Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer …
Colorectal cancer (CRC) is one of the most common and malignant types of cancer
worldwide. Colonoscopy, considered the gold standard for CRC screening, allows …
worldwide. Colonoscopy, considered the gold standard for CRC screening, allows …
A deep ensemble learning method for colorectal polyp classification with optimized network parameters
Colorectal Cancer (CRC), a leading cause of cancer-related deaths, can be abated by timely
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …
A lightweight YOLOv3 algorithm used for safety helmet detection
L Deng, H Li, H Liu, J Gu - Scientific reports, 2022 - nature.com
YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a
complex network, and floating point operations (FLOPs) and parameter sizes are large …
complex network, and floating point operations (FLOPs) and parameter sizes are large …
MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection
I Pacal - Knowledge-Based Systems, 2024 - Elsevier
Early detection is essential for cervical cancer therapy, which is the fourth most frequent
malignancy worldwide. While the Pap smear test is the established approach for identifying …
malignancy worldwide. While the Pap smear test is the established approach for identifying …
PPNet: Pyramid pooling based network for polyp segmentation
Colonoscopy is the gold standard method for investigating the gastrointestinal tract.
Localizing the polyps in colonoscopy images plays a vital role when doing a colonoscopy …
Localizing the polyps in colonoscopy images plays a vital role when doing a colonoscopy …