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CerviCell-detector: An object detection approach for identifying the cancerous cells in pap smear images of cervical cancer

  • Published:2023-11 Issue:11 Volume:9 Page:e22324
  • ISSN:2405-8440
  • Container-title:Heliyon
  • language:en
  • Short-container-title:Heliyon

Author:

Kalbhor Madhura,Shinde Swati,Wajire Pankaj,Jude Hemanth

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference38 articles.

1. A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images;William;Biomed. Eng. Online,2019

2. Point-of-care digital cytology with artificial intelligence for cervical cancer screening in a resource-limited setting;Holmström;JAMA Netw. Open,2021

3. ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference (v6.1);Jocher,2022

4. Faster R-CNN: towards real-time object detection with region proposal networks;Ren;IEEE Trans. Pattern Anal. Mach. Intell.,2015

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TSO-DETR: A Network for Small Object Detection of Cervical Cells in TCT Smear;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. An Enhanced Deep-Learning-Based Workflow For Detection of Banana Leaf Stomata From Brightfield Microscopic Images;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

3. Performance Analysis of Original Implementation of ResNet50-Mask-RCNN using Transfer Learning: A Benchmark Data for Backbone-Improved Based Future Comparative Studies;2024 28th International Conference on Information Technology (IT);2024-02-21

4. Data Augmentation Techniques to Detect Cervical Cancer Using Deep Learning: A Systematic Review;Lecture Notes in Networks and Systems;2024
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