Section Split

This module splits the report into sections. RadText provides two options for section split.

secsplit:regex

The rule-based method uses a list of section titles to split the notes.

Options

Option name	Default	Description
–section-titles	$resources/section_titles.txt	List of section titles

$ radtext-secsplit regex -i /path/to/input.xml -o /path/to/output.xml

from radtext.models.section_split.section_split_regex import BioCSectionSplitterRegex, combine_patterns
with open(argv['--section-titles']) as fp:
    section_titles = [line.strip() for line in fp]
pattern = combine_patterns(section_titles)
processor = BioCSectionSplitterRegex(regex_pattern=pattern)

secsplit:medspacy

MedSpaCy is a spaCy tool for performing clinical NLP and text processing tasks. It includes an implementation of clinical section detection based on rule-based matching of the section titles with default rules adapted from SecTag and expanded through practice.

$ radtext-secsplit medspacy -i /path/to/input.xml -o /path/to/output.xml

import medspacy
from radtext.models.section_split.section_split_medspacy import BioCSectionSplitterMedSpacy
nlp = medspacy.load(enable=["sectionizer"])
processor = BioCSectionSplitterMedSpacy(nlp)