A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …
of open-source healthcare statistics has prompted researchers to create applications that aid …
A survey on recent trends in deep learning for nucleus segmentation from histopathology images
Nucleus segmentation is an imperative step in the qualitative study of imaging datasets,
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Cervical cancer, one of the most common fatal cancers among women, can be prevented by
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
A survey for cervical cytopathology image analysis using deep learning
Cervical cancer is one of the most common and deadliest cancers among women. Despite
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
CytoBrain: cervical cancer screening system based on deep learning technology
Identification of abnormal cervical cells is a significant problem in computer-aided diagnosis
of cervical cancer. In this study, we develop an artificial intelligence (AI) system, named …
of cervical cancer. In this study, we develop an artificial intelligence (AI) system, named …
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From …
W Liu, C Li, MM Rahaman, T Jiang, H Sun, X Wu… - Computers in biology …, 2022 - Elsevier
Cervical cancer is a very common and fatal type of cancer in women. Cytopathology images
are often used to screen for this cancer. Given that there is a possibility that many errors can …
are often used to screen for this cancer. Given that there is a possibility that many errors can …
[Retracted] Effective CBMIR System Using Hybrid Features‐Based Independent Condensed Nearest Neighbor Model
HD Praveena, NS Guptha… - Journal of …, 2022 - Wiley Online Library
In recent times, a large number of medical images are generated, due to the evolution of
digital imaging modalities and computer vision application. Due to variation in the shape …
digital imaging modalities and computer vision application. Due to variation in the shape …
Deep learning in selected cancers' image analysis—a survey
TG Debelee, SR Kebede, F Schwenker… - Journal of …, 2020 - mdpi.com
Deep learning algorithms have become the first choice as an approach to medical image
analysis, face recognition, and emotion recognition. In this survey, several deep-learning …
analysis, face recognition, and emotion recognition. In this survey, several deep-learning …
Lightweight convolutional neural network with knowledge distillation for cervical cells classification
Cervical cancer is among the most lethal human malignancies. Women in developing
countries are overwhelmingly vulnerable to the cervical cancer because of the lack of …
countries are overwhelmingly vulnerable to the cervical cancer because of the lack of …
MLNet: metaheuristics-based lightweight deep learning network for cervical cancer diagnosis
One of the leading causes of cancer-related deaths among women is cervical cancer. Early
diagnosis and treatment can minimize the complications of this cancer. Recently …
diagnosis and treatment can minimize the complications of this cancer. Recently …