Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives

H Patel, H Shah, G Patel, A Patel - Artificial Intelligence in Medicine, 2024 - Elsevier
Hematology is the study of diagnosis and treatment options for blood diseases, including
cancer. Cancer is considered one of the deadliest diseases across all age categories …

Yolov10 to its genesis: A decadal and comprehensive review of the you only look once series

R Sapkota, R Qureshi, M Flores-Calero… - Available at SSRN …, 2024 - papers.ssrn.com
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …

Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile …

A Paul, R Machavaram, D Kumar, H Nagar - Computers and Electronics …, 2024 - Elsevier
This research paper explores a comprehensive approach to advancing capsicum harvesting
by integrating cutting-edge technologies. The study addresses key objectives, including …

An interpretable approach with explainable AI for heart stroke prediction

PN Srinivasu, U Sirisha, K Sandeep, SP Praveen… - Diagnostics, 2024 - mdpi.com
Heart strokes are a significant global health concern, profoundly affecting the wellbeing of
the population. Many research endeavors have focused on develo** predictive models for …

[HTML][HTML] LUD-YOLO: A novel lightweight object detection network for unmanned aerial vehicle

Q Fan, Y Li, M Deveci, K Zhong, S Kadry - Information Sciences, 2025 - Elsevier
Autonomous execution of tasks by unmanned aerial vehicles (UAVs) relies heavily on object
detection. However, object detection in most images presents challenges such as complex …

[HTML][HTML] ODCA-YOLO: An omni-dynamic convolution coordinate attention-based YOLO for wood defect detection

R Wang, F Liang, B Wang, X Mou - Forests, 2023 - mdpi.com
Accurate detection of wood defects plays a crucial role in optimizing wood utilization,
minimizing corporate expenses, and safeguarding precious forest resources. To achieve …

Synchronizing object detection: applications, advancements and existing challenges

MT Hosain, A Zaman, MR Abir, S Akter… - IEEE …, 2024 - ieeexplore.ieee.org
From pivotal roles in autonomous vehicles, healthcare diagnostics, and surveillance
systems to seamlessly integrating with augmented reality, object detection algorithms stand …

Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitting …

SP Praveen, MK Hasan, SNHS Abdullah… - Frontiers in …, 2024 - frontiersin.org
Introduction Global Cardiovascular disease (CVD) is still one of the leading causes of death
and requires the enhancement of diagnostic methods for the effective detection of early …

Improved YOLOv7 algorithm for small object detection in unmanned aerial vehicle image scenarios

X Li, Y Wei, J Li, W Duan, X Zhang, Y Huang - Applied Sciences, 2024 - mdpi.com
Object detection in unmanned aerial vehicle (UAV) images has become a popular research
topic in recent years. However, UAV images are captured from high altitudes with a large …

[HTML][HTML] Improved tomato leaf disease recognition based on the YOLOv5m with various soft attention module combinations

YS Lee, MP Patil, JG Kim, SS Choi, YB Seo, GD Kim - Agriculture, 2024 - mdpi.com
To reduce production costs, environmental effects, and crop losses, tomato leaf disease
recognition must be accurate and fast. Early diagnosis and treatment are necessary to cure …