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Instagram as a Tool to Improve Human Histology Learning in Medical Education: Descriptive Study
However, histology and its nomenclature can be complex to understand for novice medical students, and consequently, it is often perceived as a secondary subject without clinical relevance [10]. From a pedagogical point of view, one of the main goals of histology courses is to ensure that students acquire the competencies necessary to understand histophysiology. For example, histology requires students to develop pattern recognition skills.
JMIR Med Educ 2025;11:e55861
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Merkel Cell Carcinoma on the Face: Case Report
histology
JMIR Dermatol 2024;7:e56658
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The Importance of Basal Cell Carcinoma Risk Stratification and Potential Future Pathways
Basal cell carcinoma (histology); low risk nodular BCC and high risk infiltrating BCC.
Clinical and pathological parameters to determine basal cell carcinoma (BBC) risk (adapted from Badash et al [9]).
JMIR Dermatol 2023;6:e50309
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However, 3 D histology images are less popular, as 3 D histomorphological features rarely appear intuitive to human eyes. Hence, 2 D histology image-based cancer prediction models have thus far been proposed [6-8]. Nevertheless, we hypothesized that these 3 D features carry useful information that can help our proposed deep learning model to learn more effectively, even from a small set of data.
JMIR Cancer 2023;9:e45547
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Kaplan–Meier analysis showed that patients with the serous subtype had a significantly lower OCSS (P
Sensitivity analyses were focused on age at diagnosis, race, AJCC staging, and nodal status to investigate the effect of histology on survival outcomes (Table 4). The obtained results indicated that patients with the serous subtype had lower OCSS and OS than those with the nonserous subtype, stratified by age at diagnosis, stage at diagnosis, and nodal stage.
JMIR Public Health Surveill 2021;7(11):e25976
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The second part of the protocol enables one-to-one comparison of in vivo data with histology for both CLE and OCT. Our approach is similar to the approach of Muller et al [28] that compared ex vivo needle-based OCT measurements of radical prostatectomy specimens with histology by cutting through the measurement trajectories. In our measurements, data will be obtained from in vivo tissue, in which red blood cells will absorb and scatter light different from regular cells.
JMIR Res Protoc 2018;7(5):e132
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