JP2020516428A5 - - Google Patents
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- JP2020516428A5 JP2020516428A5 JP2020505540A JP2020505540A JP2020516428A5 JP 2020516428 A5 JP2020516428 A5 JP 2020516428A5 JP 2020505540 A JP2020505540 A JP 2020505540A JP 2020505540 A JP2020505540 A JP 2020505540A JP 2020516428 A5 JP2020516428 A5 JP 2020516428A5
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- mammogram
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Claims (15)
- マンモグラフィ画像を分析するコンピュータ支援方法であって、
マンモグラムを受け取るステップと、
前記マンモグラムの１つまたは複数の解剖学的領域をセグメント化するステップと、
１つまたは複数の畳み込みニューラルネットワークを用いて前記１つまたは複数の解剖学的領域の組織型および密度カテゴリ分類を識別するステップと、
識別された組織型および密度カテゴリ分類を用いて、前記マンモグラムのための分類出力を生成するステップと、
を含む方法。 - 標準的な解剖学的構造に基づいて強度レベルを較正するステップをさらに含む、請求項１に記載の方法。
- １つまたは複数の解剖学的領域をセグメント化するステップは、前記マンモグラムの第１の解剖学的領域を決定するステップを含み、および／または、前記マンモグラムの第２の解剖学的領域を決定するステップを含む、請求項１または２に記載の方法。
- 前記第１の解剖学的領域は、実質が存在する領域を含む、請求項３に記載の方法。
- 前記第１の解剖学的領域の１つまたは複数の標本領域を選択するステップと、
前記１つまたは複数の標本領域に応じて組織型と密度カテゴリ分類を識別するステップと、
をさらに含む、請求項３または４に記載の方法。 - 前記第２の解剖学的領域は、実質が存在しない領域を含む、請求項３に記載の方法。
- 前記第２の解剖学的領域に応じて組織型および密度カテゴリ分類を識別するステップをさらに含む、請求項３または６に記載の方法。
- 組織型および密度カテゴリ分類を識別するステップは、１つまたは複数の畳み込みニューラルネットワークを用いて実行され、前記１つまたは複数の畳み込みニューラルネットワークは、組織型および密度カテゴリを分類するように訓練され、選択的に、前記１つまたは複数の畳み込みニューラルネットワークは、組織型または密度カテゴリを分類するように独立して訓練される、請求項５に記載の方法。
- 前記１つまたは複数の標本領域と前記マンモグラムの両方が、前記１つまたは複数の畳み込みニューラルネットワークのための入力として提供される、請求項８に記載の方法。
- 前記マンモグラムの１つまたは複数の解剖学的領域をセグメント化するステップは、完全畳み込みネットワークにおいて実行される、請求項１〜９のいずれかに記載の方法。
- 前記マンモグラムの分類出力は、結合した組織型および密度カテゴリ分類を含む、請求項１〜１０のいずれかに記載の方法。
- 前記１つまたは複数の標本領域は、均一またはポアソンサンプリングを使用して選択される、請求項５に記載の方法。
- 前記１つまたは複数の標本領域は、前記１つまたは複数の畳み込みニューラルネットワークの入力パラメータに応じて大きさが異なる、請求項８のいずれかに記載の方法。
- マンモグラムを受け取るステップと、
前記マンモグラムの１つまたは複数の解剖学的領域をセグメント化するステップと、
１つまたは複数の畳み込みニューラルネットワークを用いて前記１つまたは複数の解剖学的領域の組織型および密度カテゴリ分類を識別するステップと、
識別された組織型および密度カテゴリ分類を用いて、前記マンモグラムのための分類出力を生成するステップと、
を実行するための手段を含むシステム。 - マンモグラムを受け取るステップと、
前記マンモグラムの１つまたは複数の解剖学的領域をセグメント化するステップと、
１つまたは複数の畳み込みニューラルネットワークを用いて前記１つまたは複数の解剖学的領域の組織型および密度カテゴリ分類を識別するステップと、
識別された組織型および密度カテゴリ分類を用いて、前記マンモグラムのための分類出力を生成するステップと、
をコンピュータに実行させる命令を含むコンピュータプログラム。
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1705911.4 | 2017-04-12 | ||
| GBGB1705911.4A GB201705911D0 (en) | 2017-04-12 | 2017-04-12 | Abstracts |
| GB1711557.7 | 2017-07-18 | ||
| GBGB1711557.7A GB201711557D0 (en) | 2017-04-12 | 2017-07-18 | Quality Control |
| PCT/GB2018/050979 WO2018189549A1 (en) | 2017-04-12 | 2018-04-12 | Assessment of density in mammography |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020516428A JP2020516428A (ja) | 2020-06-11 |
| JP2020516428A5 true JP2020516428A5 (ja) | 2021-05-06 |
| JP7279015B2 JP7279015B2 (ja) | 2023-05-22 |
Family
ID=58744677
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020505540A Active JP7279015B2 (ja) | 2017-04-12 | 2018-04-12 | マンモグラフィにおける密度の評価 |
Country Status (5)
| Country | Link |
|---|---|
| US (3) | US11423541B2 (ja) |
| EP (3) | EP3610457A1 (ja) |
| JP (1) | JP7279015B2 (ja) |
| GB (5) | GB201705911D0 (ja) |
| WO (3) | WO2018189551A1 (ja) |
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2017
- 2017-04-12 GB GBGB1705911.4A patent/GB201705911D0/en not_active Ceased
- 2017-07-18 GB GBGB1711560.1A patent/GB201711560D0/en not_active Ceased
- 2017-07-18 GB GBGB1711559.3A patent/GB201711559D0/en not_active Ceased
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2018
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