Heap
HEAP is a software tool designed to aid medical technicians in identifying and counting parasite eggs in microscopic samples. It uses multiple deep learning algorithms to analyze images of the samples and provide accurate results. The platform is user-friendly and can be easily deployed on various computer platforms. Additionally, it includes a parasitic egg database that provides access to labeled images and pretrained models. This makes it an excellent educational and training resource for those interested in helminth egg examination.
Topic
Parasitology;Imaging;Biological databases
Detail
Operation: Quantification
Software interface: Web application
Language: -
License: -
Cost: Free
Version name: -
Credit: -
Input: -
Output: -
Contact: Chi-Ching Lee chichinglee@cgu.edu.tw ,Po-Jung Huang pjhuang@gap.cgu.edu.tw ,Close Yuan-Ming Yeh ymyeh@cgmh.org.tw ,Pei-Hsuan Li M0829002@cgu.edu.tw ,Cheng-Hsun Chiu chchiu@adm.cgmh.org.tw ,Wei-Hung Cheng whcheng@isu.edu.tw ,Petrus Tang petang@mail.cgu.edu.tw
Collection: -
Maturity: -
Publications
- Helminth egg analysis platform (HEAP): An opened platform for microscopic helminth egg identification and quantification based on the integration of deep learning architectures.
- Lee CC, et al. Helminth egg analysis platform (HEAP): An opened platform for microscopic helminth egg identification and quantification based on the integration of deep learning architectures. Helminth egg analysis platform (HEAP): An opened platform for microscopic helminth egg identification and quantification based on the integration of deep learning architectures. 2022; 55:395-404. doi: 10.1016/j.jmii.2021.07.014
- https://doi.org/10.1016/J.JMII.2021.07.014
- PMID: 34511389
- PMC: -
- Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data.
- Kobayashi M, et al. Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data. Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data. 2017; 24:397-405. doi: 10.1093/dnares/dsx012
- https://doi.org/10.1093/dnares/dsx012
- PMID: 28498906
- PMC: PMC5737671
Download and documentation
Home page: http://heap.cgu.edu.tw
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