A study of CNN and transfer learning in medical imaging: Advantages, challenges, future scope
This paper presents a comprehensive study of Convolutional Neural Networks (CNN) and
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …
Advances in deep learning-based medical image analysis
Importance. With the booming growth of artificial intelligence (AI), especially the recent
advancements of deep learning, utilizing advanced deep learning-based methods for …
advancements of deep learning, utilizing advanced deep learning-based methods for …
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
S Maqsood, R Damaševičius - Neural networks, 2023 - Elsevier
Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …
information technology industry's rapid development. Smart healthcare uses next-generation …
Beyond one-hot encoding: Lower dimensional target embedding
Target encoding plays a central role when learning Convolutional Neural Networks. In this
realm, one-hot encoding is the most prevalent strategy due to its simplicity. However, this so …
realm, one-hot encoding is the most prevalent strategy due to its simplicity. However, this so …
Screening of COVID-19 suspected subjects using multi-crossover genetic algorithm based dense convolutional neural network
Fast and accurate screening of novel coronavirus (COVID-19) suspected subjects plays a
vital role in timely quarantine and medical care. Deep transfer learning-based screening …
vital role in timely quarantine and medical care. Deep transfer learning-based screening …
A hierarchical three-step superpixels and deep learning framework for skin lesion classification
Skin cancer is one of the most common and dangerous cancer that exists worldwide.
Malignant melanoma is one of the most dangerous skin cancer types has a high mortality …
Malignant melanoma is one of the most dangerous skin cancer types has a high mortality …
Identification of melanoma from hyperspectral pathology image using 3D convolutional networks
Skin biopsy histopathological analysis is one of the primary methods used for pathologists to
assess the presence and deterioration of melanoma in clinical. A comprehensive and …
assess the presence and deterioration of melanoma in clinical. A comprehensive and …
Convolutional neural network based on complex networks for brain tumor image classification with a modified activation function
Z Huang, X Du, L Chen, Y Li, M Liu, Y Chou… - IEEE Access, 2020 - ieeexplore.ieee.org
The diagnosis of brain tumor types generally depends on the clinical experience of doctors,
and computer-assisted diagnosis improves the accuracy of diagnosing tumor types …
and computer-assisted diagnosis improves the accuracy of diagnosing tumor types …
Assessment of angle closure disease in the age of artificial intelligence: A review
Primary angle closure glaucoma is a visually debilitating disease that is under-detected
worldwide. Many of the challenges in managing primary angle closure disease (PACD) are …
worldwide. Many of the challenges in managing primary angle closure disease (PACD) are …
Indian classical dance mudra classification using HOG features and SVM classifier
KVV Kumar, PVV Kishore - … Computing and Informatics: Proceedings of the …, 2018 - Springer
Digital understanding of Indian classical dance is least studied work, though it has been a
part of Indian Culture from around 200 BC. This work explores the possibilities of …
part of Indian Culture from around 200 BC. This work explores the possibilities of …