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Automated scoring methods for quantitative interpretation of Tumour infiltrating lymphocytes (TILs) in breast cancer: a systematic review.

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Title: Automated scoring methods for quantitative interpretation of Tumour infiltrating lymphocytes (TILs) in breast cancer: a systematic review.
Authors: Baharun NB; Department of Pathology, Faculty of Medicine, The National University of Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Wilayah Persekutuan, 56000, Malaysia. p110546@siswa.ukm.edu.my.; Department of Medical Diagnostic, Faculty of Health Sciences, Universiti Selangor, Jalan Zirkon A7/7, Seksyen 7, Shah Alam, Selangor, 40000, Malaysia. p110546@siswa.ukm.edu.my., Adam A; Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science & Technology, The National University of Malaysia, Bangi, Selangor, 43600, Malaysia., Zailani MAH; Department of Pathology, Faculty of Medicine, The National University of Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Wilayah Persekutuan, 56000, Malaysia.; Department of Pathology and Forensic Pathology, Faculty of Medicine, MAHSA University, Bandar Saujana Putra, Malaysia., Rajpoot NM; Department of Computer Science, University of Warwick, 6 Lord Bhattacharyya Way, Coventry, CV4 7EZ, UK., Xu Q; Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science & Technology, The National University of Malaysia, Bangi, Selangor, 43600, Malaysia., Zin RRM; Department of Pathology, Faculty of Medicine, The National University of Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Wilayah Persekutuan, 56000, Malaysia.
Source: BMC cancer [BMC Cancer] 2024 Sep 30; Vol. 24 (1), pp. 1202. Date of Electronic Publication: 2024 Sep 30.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Baharun+NB%22">Baharun NB</searchLink>; Department of Pathology, Faculty of Medicine, The National University of Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Wilayah Persekutuan, 56000, Malaysia. p110546@siswa.ukm.edu.my.; Department of Medical Diagnostic, Faculty of Health Sciences, Universiti Selangor, Jalan Zirkon A7/7, Seksyen 7, Shah Alam, Selangor, 40000, Malaysia. p110546@siswa.ukm.edu.my.<br /><searchLink fieldCode="AU" term="%22Adam+A%22">Adam A</searchLink>; Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science & Technology, The National University of Malaysia, Bangi, Selangor, 43600, Malaysia.<br /><searchLink fieldCode="AU" term="%22Zailani+MAH%22">Zailani MAH</searchLink>; Department of Pathology, Faculty of Medicine, The National University of Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Wilayah Persekutuan, 56000, Malaysia.; Department of Pathology and Forensic Pathology, Faculty of Medicine, MAHSA University, Bandar Saujana Putra, Malaysia.<br /><searchLink fieldCode="AU" term="%22Rajpoot+NM%22">Rajpoot NM</searchLink>; Department of Computer Science, University of Warwick, 6 Lord Bhattacharyya Way, Coventry, CV4 7EZ, UK.<br /><searchLink fieldCode="AU" term="%22Xu+Q%22">Xu Q</searchLink>; Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science & Technology, The National University of Malaysia, Bangi, Selangor, 43600, Malaysia.<br /><searchLink fieldCode="AU" term="%22Zin+RRM%22">Zin RRM</searchLink>; Department of Pathology, Faculty of Medicine, The National University of Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Wilayah Persekutuan, 56000, Malaysia.
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  Data: <searchLink fieldCode="JN" term="%22100967800%22">BMC cancer</searchLink> [BMC Cancer] 2024 Sep 30; Vol. 24 (1), pp. 1202. <i>Date of Electronic Publication: </i>2024 Sep 30.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100967800 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2407 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712407%22">14712407 </searchLink><i>NLM ISO Abbreviation: </i>BMC Cancer <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12885-024-12962-8
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        Text: English
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              Text: 2024 Sep 30
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