Abstract: The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.

Abstract: The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.

Abstract: The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.

Abstract: The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.

Abstract: The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.

Abstract: The present invention relates to a method of determining whether a biological sample comprising human lung cancer cells is sensitive to a combination of an epidermal growth factor receptor inhibitor and a chemotherapeutic agent by determining the overexpression of a phosphorylated AKT protein and/or a phosphorylated MAPK protein in the biological sample. The invention is also related to methods for deriving a candidate agent or for selecting a composition for inhibiting the progression of lung cancer in a patient wherein a phosphorylated AKT protein and/or a phosphorylated MAPK protein is used.

Abstract: The present invention relates to a method of determining whether a biological sample comprising human lung cancer cells is sensitive to a combination of an epidermal growth factor receptor inhibitor and a chemotherapeutic agent by determining the overexpression of a phosphorylated AKT protein and/or a phosphorylated MAPK protein in the biological sample. The invention is also related to methods for deriving a candidate agent or for selecting a composition for inhibiting the progression of lung cancer in a patient wherein a phosphorylated AKT protein and/or a phosphorylated MAPK protein is used.

Abstract: The present invention relates to a method of determining whether a biological sample comprising human lung cancer cells is sensitive to a combination of an epidermal growth factor receptor inhibitor and a chemotherapeutic agent by determining the overexpression of a phosphorylated AKT protein and/or a phosphorylated MAPK protein in the biological sample. The invention is also related to methods for deriving a candidate agent or for selecting a composition for inhibiting the progression of lung cancer in a patient wherein a phosphorylated AKT protein and/or a phosphorylated MAPK protein is used.