[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
[HTML][HTML] Underwater Detection: A Brief Survey and A New Multitask Dataset
Y Wei, Y Wang, B Zhu, C Lin, D Wu, X Xue… - International Journal of …, 2024 - sciltp.com
Underwater detection poses significant challenges due to the unique characteristics of the
underwater environment, such as light attenuation, scattering, water turbidity, and the …
underwater environment, such as light attenuation, scattering, water turbidity, and the …
Survey on deep learning in multimodal medical imaging for cancer detection
The task of multimodal cancer detection is to determine the locations and categories of
lesions by using different imaging techniques, which is one of the key research methods for …
lesions by using different imaging techniques, which is one of the key research methods for …
YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities
N Rane - Available at SSRN 4624206, 2023 - papers.ssrn.com
The rise of Industry 4.0 and the emerging paradigm of Industry 5.0 have driven
unprecedented technological progress in various fields. Central to this transformation are …
unprecedented technological progress in various fields. Central to this transformation are …
Confused and disentangled distribution alignment for unsupervised universal adaptive object detection
W Shi, D Liu, Z Wu, B Zheng - Knowledge-Based Systems, 2024 - Elsevier
Universal domain adaptive object detection (UniDAOD) is a more challenging and realistic
problem than traditional domain adaptive object detection (DAOD), aiming to transfer the …
problem than traditional domain adaptive object detection (DAOD), aiming to transfer the …
Decoupled Sequential Detection Head for accurate acne detection
X Wei, L Zhang, J Zhang, J Wang, W Liu, J Li… - Knowledge-Based …, 2024 - Elsevier
Accurate detection of acne plays a crucial role in acquiring precise diagnosis and
conducting proper therapy. However, the ambiguous boundaries and arbitrary dimensions …
conducting proper therapy. However, the ambiguous boundaries and arbitrary dimensions …
From WSI-level to patch-level: Structure prior-guided binuclear cell fine-grained detection
Accurate and quick binuclear cell (BC) detection plays a significant role in predicting the risk
of leukemia and other malignant tumors. However, manual counting of BCs using …
of leukemia and other malignant tumors. However, manual counting of BCs using …
[HTML][HTML] Inflating 2D convolution weights for efficient generation of 3D medical images
Abstract Background and Objective: The generation of three-dimensional (3D) medical
images has great application potential since it takes into account the 3D anatomical …
images has great application potential since it takes into account the 3D anatomical …
Lsm-yolo: A compact and effective roi detector for medical detection
Z Yu, Q Guan, J Yang, Z Yang, Q Zhou, Y Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
In existing medical Region of Interest (ROI) detection, there lacks an algorithm that can
simultaneously satisfy both real-time performance and accuracy, not meeting the growing …
simultaneously satisfy both real-time performance and accuracy, not meeting the growing …
CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration
Y Jin, J Liu, Y Zhou, R Chen, H Chen, W Duan… - … Medical Imaging and …, 2024 - Elsevier
Lung granuloma is a very common lung disease, and its specific diagnosis is important for
determining the exact cause of the disease as well as the prognosis of the patient. And, an …
determining the exact cause of the disease as well as the prognosis of the patient. And, an …